Developer of an automation platform designed to build a user-focused operating system for the multi-cloud era. The company helps with the open-source software ecosystem that includes data collection, data pre-processing, building datasets, model training, refinement, evaluation, and deployment to production, enabling engineers with the tools to take their ideas from conception to high-quality production, efficiently and without any tech debt.
DeltaStream is the serverless database to manage, secure, and process all your streams.
Snowplow Analytics Limited is a cloud-based data collection platform that specializes in providing granular data for research and analytics. Founded in 2011 and headquartered in London, the company operates its pipeline within the client's cloud account, ensuring real-time data access and complete ownership. The platform runs natively on Amazon Web Services and Google Cloud Platform, making it a scalable solution for various industries, including media, telecommunications, retail, and travel. Snowplow enables users to identify and track engagement on websites or applications, store behavioral data in a user-controlled event data warehouse, and integrate web analytics with third-party data sources, such as marketing and customer relationship management data. Additionally, it allows users to utilize a wide range of analysis tools to interpret and analyze this data effectively.
Graft is a cloud-native platform that uses AI techniques to unlock the value of text, images, video, audio, and graphs. There is no requirement for machine learning skills, no need to hire a team, and no infrastructure to build or maintain.
Developer of an automation platform designed to build a user-focused operating system for the multi-cloud era. The company helps with the open-source software ecosystem that includes data collection, data pre-processing, building datasets, model training, refinement, evaluation, and deployment to production, enabling engineers with the tools to take their ideas from conception to high-quality production, efficiently and without any tech debt.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.
Bitglass, Inc. is an information technology company that specializes in security solutions for enterprises transitioning to cloud and mobile environments. Founded in 2013 and based in Campbell, California, the company provides a comprehensive platform that ensures real-time data protection across various interactions and devices. Its offerings include a cloud access security broker, an on-device secure web gateway, and zero-trust network access, which collectively enable effective monitoring and protection of sensitive data. Bitglass’s solutions automatically segment, track, and secure confidential information while maintaining employee privacy. Additionally, the platform alerts clients to potential policy violations and security threats, ensuring business continuity and compliance. The company also has regional offices in Toronto, Canada.
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
Big Data Federation, Inc. develops and provides big data and analytics solutions such as artificial intelligence to predict financial, economical, and world events. The company offers PredictionValley, cloud based machine-learning platform which provides buy or sell signals to enable trading decisions based on predicted fundamentals and stock movements around earnings. Big Data Federation, Inc. was incorporated in 2015 and is headquartered in Palo Alto, California.
GrowingIO is a leading analytic platform provider in China focusing on driving business growth through data insights.Their product help customer tracking data, building dashboard and analyze quick insights. The platform can track user behavior data on App, Mini app (wechat) and web.
GrowingIO was founded in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. And it is headquartered in Beijing, China.
Infoworks' Enterprise Data Operations and Orchestration (EDO2) system was built to automate and accelerate development, deployment and orchestration of analytics projects at scale, in cloud, hybrid, multi-cloud, and premise-based environments. Through deep automation and a code-free environment, Infoworks empowers organizations to rapidly consolidate and organize enterprise data, create analytics pipelines and deploy projects to production within days – dramatically increasing business agility and accelerating time-to-value. Infoworks counts some of the world’s largest financial, retail, technology, healthcare, oil & gas, and manufacturing companies as its customers.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
OmniSci, Inc. specializes in accelerated analytics solutions powered by graphics processing units (GPUs). Its analytics platform enables users to interactively query and visualize data, facilitating data science workflows across vast datasets. This technology is utilized by various sectors, including automotive, insurance, investment management, logistics, media, oil and gas, pharmaceuticals, telecommunications, utilities, and public services. The platform stands out by allowing organizations to derive insights from data far beyond the capabilities of conventional analytics tools. OmniSci's origins trace back to research at Harvard and the MIT Computer Science and Artificial Intelligence Laboratory. Established in 2013 and headquartered in San Francisco, the company has formed strategic partnerships with several prominent investors and firms, including Google Ventures, In-Q-Tel, and NVIDIA. OmniSci aims to support both business and government entities in leveraging data for informed decision-making.
Enigma Technologies, Inc. is a New York-based operational data management and intelligence company that offers a comprehensive searchable database of public records and documents. Its core offerings include Enigma Data Infrastructure, which encompasses tools for data operations and search capabilities, and Enigma Solutions, tailored products and services for industries such as financial services, healthcare, and insurance. The company provides analysis-ready public data and operates Enigma Labs to develop open data tools for public use. Additionally, Enigma offers an application programming interface (API) to facilitate application development and various data services, including entity resolution and custom data acquisition. By delivering timely and accurate insights into small businesses' identities and risk profiles, Enigma supports organizations like American Express and PayPal in making informed operational decisions. Founded in 2011, Enigma continues to bridge the gap between data and workflows, enhancing decision-making processes across sectors.
Datrium is the leader in tier 1 hyperconverged infrastructure (HCI) for hybrid clouds. Datrium converges tier 1 HCI, scale-out backup and cloud disaster recovery for vastly simpler administration, protection of hybrid cloud infrastructure, and higher IO performance than available with traditional HCI alternatives.
Founded in 2012, Datrium is headquartered in Sunnyvale, California, United States.
StreamSets, Inc. is a company that specializes in cloud-based DataOps solutions for modern data integration, enabling enterprises to efficiently manage the flow of big, streaming, and traditional data. Founded in 2014 and headquartered in San Francisco, California, StreamSets provides a range of tools including StreamSets Control Hub for designing and monitoring data pipelines, StreamSets Data Collector for executing data pipelines without manual coding, and StreamSets Transformer for building data transformations across various sources. The platform is designed to enhance operational excellence in managing data in motion, ensuring timely and high-quality data delivery for critical business analysis and decision-making. StreamSets serves a diverse clientele, including enterprises in the United States and internationally, and supports use cases such as data lake and warehouse integration, cloud data storage adoption, and real-time application development. The company also has offices in locations including Sunnyvale, Austin, London, Barcelona, Bengaluru, and Sydney.
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise.
Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively.
Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.
WaterBit’s automated irrigation solution enables control of local irrigation taking into account growth stage and soil conditions at a level of granularity and accuracy that is not possible with other current methods. WaterBit translates technology into tangible value for growers to improve yields, ensure crop quality, optimize water usage and implement labor saving strategies.
Catalog Technologies Inc. is a Boston-based company that specializes in a DNA-based platform designed for digital data storage and computation. Founded in 2016, Catalog's innovative platform encodes digital information into DNA, providing a new approach to long-term data archiving. This method not only enhances data storage capacity but also offers a cost-effective solution for managing vast amounts of information. By integrating advanced synthetic biology technologies, Catalog aims to revolutionize the way digital data is archived and processed, making DNA a viable medium for future data storage needs.
Reltio Inc. specializes in cloud-based enterprise data management and modern data management (MDM) solutions. The company offers a suite of tools for managing diverse data types, including multi-domain master data, transaction data, and third-party information. Its flagship product, Reltio Cloud, is an MDM platform designed to facilitate digital transformation by organizing enterprise data effectively. Additional offerings include the Reltio Connected Customer 360, which enhances customer experience through hyper-personalization and real-time operations, as well as workflow, collaboration, and data-as-a-service solutions. Reltio serves various industries, such as life sciences, healthcare, retail, financial services, and government. Founded in 2011 and headquartered in Redwood Shores, California, Reltio has established a global presence with offices in London, St. Petersburg, Bengaluru, and Brentwood. The company collaborates with major cloud providers like AWS and Google Cloud, as well as technology and strategy partners, to create a reliable foundation for customer data management.
XSky (Beijing) Data Technology Co., Ltd. is a Chinese company specializing in software-defined infrastructure products and services. It offers a range of storage solutions, including XCBS for cloud storage, XEBS for block storage, XEUS for unified storage, XEOS for object storage, and XEDP as a unified data platform. The company also provides software-defined storage solutions with its XSCALER series. XSky serves various sectors, including finance, healthcare, education, telecommunications, and energy, catering to enterprises, government agencies, and media networks. In addition to its product offerings, XSky is a significant contributor to the open-source storage system Ceph and is recognized as a leading partner of Red Hat in China. The company collaborates with major IT firms like Intel and Dell to enhance its technology and solutions, focusing on scalable and future-ready storage options.
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
ByteDance is an Internet technology company headquartered in Haidian, China, established in March 2012. The company specializes in creating mobile applications that cater to online media, entertainment, and social networking. ByteDance leverages artificial intelligence and machine learning to personalize content for users, enabling them to discover and engage with creative platforms tailored to their interests. With a robust user base of nearly 200 million daily active users, each spending an average of one hour daily on its products, ByteDance fosters connections between people and information. Its portfolio includes popular applications such as Topbuzz, Flipagram, and various user-generated content short-form video platforms, which have gained significant traction among mobile users globally. The company also maintains offices in the USA and Japan, enhancing its international presence.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
VividCortex, Inc. specializes in Software as a Service (SaaS) solutions for database performance monitoring and analysis, focusing on MySQL and other major open-source databases such as PostgreSQL, Amazon Aurora, MongoDB, and Redis. Founded in 2012 and headquartered in Northern Virginia, VividCortex provides tools that enhance system performance, team efficiency, and cost savings by offering comprehensive visibility into database behavior. Its platform enables organizations to measure and analyze database workload and query performance using patented algorithms, allowing for proactive resolution of database issues. Industry leaders, including Etsy and GitHub, utilize VividCortex for all-query monitoring and detailed insights across thousands of servers. The company emphasizes a unique approach to database monitoring, distinguishing itself from traditional application performance tools that often lack transparency in the data tier. By delivering specialized tools designed for high-performance, stateful databases, VividCortex helps teams optimize their applications and improve service delivery.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Segment.io, Inc. is a company that specializes in customer data infrastructure, enabling businesses to collect, unify, and connect their customer data across various platforms. Founded in 2011 and headquartered in San Francisco, California, Segment offers a single API that allows organizations to track customer information across multiple devices and channels. This data can be seamlessly sent to a variety of third-party tools, internal systems, or SQL databases. Additionally, Segment provides a product known as Data Lakes, which assists companies in leveraging their customer data to enhance user experiences. The company also maintains an office in Dublin, Ireland, and operates as a subsidiary of Twilio Inc. as of November 2020.
Catalog Technologies Inc. is a Boston-based company that specializes in a DNA-based platform designed for digital data storage and computation. Founded in 2016, Catalog's innovative platform encodes digital information into DNA, providing a new approach to long-term data archiving. This method not only enhances data storage capacity but also offers a cost-effective solution for managing vast amounts of information. By integrating advanced synthetic biology technologies, Catalog aims to revolutionize the way digital data is archived and processed, making DNA a viable medium for future data storage needs.
StreamSets, Inc. is a company that specializes in cloud-based DataOps solutions for modern data integration, enabling enterprises to efficiently manage the flow of big, streaming, and traditional data. Founded in 2014 and headquartered in San Francisco, California, StreamSets provides a range of tools including StreamSets Control Hub for designing and monitoring data pipelines, StreamSets Data Collector for executing data pipelines without manual coding, and StreamSets Transformer for building data transformations across various sources. The platform is designed to enhance operational excellence in managing data in motion, ensuring timely and high-quality data delivery for critical business analysis and decision-making. StreamSets serves a diverse clientele, including enterprises in the United States and internationally, and supports use cases such as data lake and warehouse integration, cloud data storage adoption, and real-time application development. The company also has offices in locations including Sunnyvale, Austin, London, Barcelona, Bengaluru, and Sydney.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.
Reltio Inc. specializes in cloud-based enterprise data management and modern data management (MDM) solutions. The company offers a suite of tools for managing diverse data types, including multi-domain master data, transaction data, and third-party information. Its flagship product, Reltio Cloud, is an MDM platform designed to facilitate digital transformation by organizing enterprise data effectively. Additional offerings include the Reltio Connected Customer 360, which enhances customer experience through hyper-personalization and real-time operations, as well as workflow, collaboration, and data-as-a-service solutions. Reltio serves various industries, such as life sciences, healthcare, retail, financial services, and government. Founded in 2011 and headquartered in Redwood Shores, California, Reltio has established a global presence with offices in London, St. Petersburg, Bengaluru, and Brentwood. The company collaborates with major cloud providers like AWS and Google Cloud, as well as technology and strategy partners, to create a reliable foundation for customer data management.
OmniSci, Inc. specializes in accelerated analytics solutions powered by graphics processing units (GPUs). Its analytics platform enables users to interactively query and visualize data, facilitating data science workflows across vast datasets. This technology is utilized by various sectors, including automotive, insurance, investment management, logistics, media, oil and gas, pharmaceuticals, telecommunications, utilities, and public services. The platform stands out by allowing organizations to derive insights from data far beyond the capabilities of conventional analytics tools. OmniSci's origins trace back to research at Harvard and the MIT Computer Science and Artificial Intelligence Laboratory. Established in 2013 and headquartered in San Francisco, the company has formed strategic partnerships with several prominent investors and firms, including Google Ventures, In-Q-Tel, and NVIDIA. OmniSci aims to support both business and government entities in leveraging data for informed decision-making.
Bitglass, Inc. is an information technology company that specializes in security solutions for enterprises transitioning to cloud and mobile environments. Founded in 2013 and based in Campbell, California, the company provides a comprehensive platform that ensures real-time data protection across various interactions and devices. Its offerings include a cloud access security broker, an on-device secure web gateway, and zero-trust network access, which collectively enable effective monitoring and protection of sensitive data. Bitglass’s solutions automatically segment, track, and secure confidential information while maintaining employee privacy. Additionally, the platform alerts clients to potential policy violations and security threats, ensuring business continuity and compliance. The company also has regional offices in Toronto, Canada.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Datrium is the leader in tier 1 hyperconverged infrastructure (HCI) for hybrid clouds. Datrium converges tier 1 HCI, scale-out backup and cloud disaster recovery for vastly simpler administration, protection of hybrid cloud infrastructure, and higher IO performance than available with traditional HCI alternatives.
Founded in 2012, Datrium is headquartered in Sunnyvale, California, United States.
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
Reltio Inc. specializes in cloud-based enterprise data management and modern data management (MDM) solutions. The company offers a suite of tools for managing diverse data types, including multi-domain master data, transaction data, and third-party information. Its flagship product, Reltio Cloud, is an MDM platform designed to facilitate digital transformation by organizing enterprise data effectively. Additional offerings include the Reltio Connected Customer 360, which enhances customer experience through hyper-personalization and real-time operations, as well as workflow, collaboration, and data-as-a-service solutions. Reltio serves various industries, such as life sciences, healthcare, retail, financial services, and government. Founded in 2011 and headquartered in Redwood Shores, California, Reltio has established a global presence with offices in London, St. Petersburg, Bengaluru, and Brentwood. The company collaborates with major cloud providers like AWS and Google Cloud, as well as technology and strategy partners, to create a reliable foundation for customer data management.
Elastic develops the open-source Elastic Stack, which includes Elasticsearch, Kibana, Beats, and Logstash, along with X-Pack, offering additional commercial features. The company also provides Elastic Cloud, a fully hosted and managed solution that supports search, logging, and analytics in a scalable and reliable manner. With over 250 million cumulative downloads, the Elastic Stack serves thousands of organizations, including notable names like Cisco, eBay, Goldman Sachs, NASA, and The New York Times, facilitating critical functions such as data search, logging, metrics, and security. Elastic is backed by significant investment from firms such as Benchmark Capital and Index Ventures, and it operates with more than 900 employees across 30 countries.
GrowingIO is a leading analytic platform provider in China focusing on driving business growth through data insights.Their product help customer tracking data, building dashboard and analyze quick insights. The platform can track user behavior data on App, Mini app (wechat) and web.
GrowingIO was founded in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. And it is headquartered in Beijing, China.
VividCortex, Inc. specializes in Software as a Service (SaaS) solutions for database performance monitoring and analysis, focusing on MySQL and other major open-source databases such as PostgreSQL, Amazon Aurora, MongoDB, and Redis. Founded in 2012 and headquartered in Northern Virginia, VividCortex provides tools that enhance system performance, team efficiency, and cost savings by offering comprehensive visibility into database behavior. Its platform enables organizations to measure and analyze database workload and query performance using patented algorithms, allowing for proactive resolution of database issues. Industry leaders, including Etsy and GitHub, utilize VividCortex for all-query monitoring and detailed insights across thousands of servers. The company emphasizes a unique approach to database monitoring, distinguishing itself from traditional application performance tools that often lack transparency in the data tier. By delivering specialized tools designed for high-performance, stateful databases, VividCortex helps teams optimize their applications and improve service delivery.
LinkDoc Technology Limited develops medical data solutions and oncology big data platforms. It offers clinical structured data for oncology hospitals and hospitals to assist hospitals in solving scientific and clinical problems. The company was founded in 2014 and is headquartered in Beijing, China.
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Euclid specializes in connecting the physical world by analyzing the relationships between people and spaces. Utilizing Wi-Fi signals in a privacy-conscious manner, the company employs proprietary technology to provide insights that enhance the efficiency and relevance of customer experiences in various environments. Euclid's offerings include online-offline attribution and store visit retargeting, enabling businesses to better understand customer behavior and improve their engagement strategies. Founded by Will Smith and currently led by CEO Brent Franson, Euclid is supported by prominent venture capital firms and strategic partners.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
OpsClarity, Inc., based in Sunnyvale, California, specializes in operational data services for data center and cloud environments. Founded in 2013, the company focuses on performance monitoring solutions tailored for modern applications and data infrastructure. Its platform enables DevOps and engineering teams to visualize, comprehend, and troubleshoot complex and distributed applications effectively. By leveraging technology developed by experts from leading tech companies, OpsClarity's solution dynamically adapts to various components of a company’s fast data applications and infrastructure. This capability facilitates the identification of performance bottlenecks in microservices-based systems, thereby helping enterprises reduce downtime, optimize application performance, and enhance the overall user experience. As of 2017, OpsClarity operates as a subsidiary of Lightbend, Inc.
Uptake Technologies, Inc. is a Chicago-based company that specializes in developing a predictive analytics platform aimed at various industries, including healthcare, insurance, locomotives, construction, and manufacturing. Founded in July 2014 by Brad Keywell and Eric Lefkofsky, Uptake's platform analyzes sensor data to predict and prevent failures, identify hidden profits, and uncover new business opportunities. The technology facilitates equipment monitoring, diagnostic troubleshooting, event prediction, and task management, which collectively enhance operational efficiency and uptime. By transforming data into actionable insights, Uptake aims to help its clients improve reliability, productivity, safety, and security across their operations.
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.
NodePrime is a developer of data center infrastructure software that enables service providers, SaaS companies, and online gaming enterprises to effectively manage extensive IT infrastructures. The company specializes in creating infrastructure platforms designed for organizations that operate large-scale cloud deployments, which can involve thousands of nodes. With a focus on reliability and efficiency, NodePrime supports its clients in optimizing their massive IT operations.
Lytmus is the most advanced Skills Analytics platform, with applications in Hiring, Training, and Certification. Recruiters use Lytmus to identify and assess technical talent (eg, Software Engineers, Data Scientists, QA Engineers) by having candidates use virtual workspaces in the cloud to complete real-world tasks, such as analyzing a dataset, or configuring a server. Lytmus collects a vast amount of workflow data produced by each candidate -- including project files and work patterns -- to infer about the candidate’s technical skills. Lytmus is a startup based in San Francisco, backed by Accel and NEA. Lytmus is trusted by Cisco, Pinterest, Anthem, among other companies.
StreamSets, Inc. is a company that specializes in cloud-based DataOps solutions for modern data integration, enabling enterprises to efficiently manage the flow of big, streaming, and traditional data. Founded in 2014 and headquartered in San Francisco, California, StreamSets provides a range of tools including StreamSets Control Hub for designing and monitoring data pipelines, StreamSets Data Collector for executing data pipelines without manual coding, and StreamSets Transformer for building data transformations across various sources. The platform is designed to enhance operational excellence in managing data in motion, ensuring timely and high-quality data delivery for critical business analysis and decision-making. StreamSets serves a diverse clientele, including enterprises in the United States and internationally, and supports use cases such as data lake and warehouse integration, cloud data storage adoption, and real-time application development. The company also has offices in locations including Sunnyvale, Austin, London, Barcelona, Bengaluru, and Sydney.
HyperVerge, Inc. is a technology company founded in 2014 and based in Los Altos, California, that specializes in artificial intelligence engines for image and video analysis. The company offers solutions under the HyperVerge FinTech and HyperVerge Geospatial brands, catering primarily to the financial technology sector and other disruptive organizations. HyperVerge's platforms provide advanced tools for identity verification, including face detection, scene recognition, and duplicate photo detection. These capabilities enable clients to streamline documentation processes, reduce fraud, and ensure compliance with anti-money laundering regulations. Additionally, HyperVerge's technology supports the analysis of consumer-generated content as well as emerging data from drones, satellite imagery, and industrial sources.
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise.
Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively.
Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.
Lattice Engines, Inc. is a software company that develops SaaS-based predictive applications tailored for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, Lattice provides a suite of solutions designed to enhance sales and marketing effectiveness. Key offerings include Lattice Atlas, which integrates multiple data sources to build targeted audiences using artificial intelligence, and Lattice for Salesforce, which delivers sales analytics. The company also offers predictive insights for marketing programs through Lattice for Marketo, as well as tools for lead scoring, customer retention, and targeted selling strategies. These applications leverage advanced machine learning to analyze buying signals and improve marketing performance. Lattice has established a strategic partnership with Engagio Inc. and operates additional offices in Austin, Boston, and New York. As of July 2019, it functions as a subsidiary of The Dun & Bradstreet Corporation.
Enigma Technologies, Inc. is a New York-based operational data management and intelligence company that offers a comprehensive searchable database of public records and documents. Its core offerings include Enigma Data Infrastructure, which encompasses tools for data operations and search capabilities, and Enigma Solutions, tailored products and services for industries such as financial services, healthcare, and insurance. The company provides analysis-ready public data and operates Enigma Labs to develop open data tools for public use. Additionally, Enigma offers an application programming interface (API) to facilitate application development and various data services, including entity resolution and custom data acquisition. By delivering timely and accurate insights into small businesses' identities and risk profiles, Enigma supports organizations like American Express and PayPal in making informed operational decisions. Founded in 2011, Enigma continues to bridge the gap between data and workflows, enhancing decision-making processes across sectors.
MongoDB, founded in 2007, offers a document-oriented NoSQL database designed to help businesses leverage data for transformative applications. With nearly 33,000 paying customers and over 1.5 million free users, MongoDB serves a diverse range of industries, enabling both startups and established companies to develop innovative solutions at a lower cost compared to traditional databases. The platform supports all major programming languages and is suitable for various deployment scenarios, providing both licenses and subscription services. MongoDB has established a robust ecosystem with over 30 million downloads and a network of more than 1,000 technology and service partners, reinforcing its position as a leader in the database market.
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.
LinkDoc Technology Limited develops medical data solutions and oncology big data platforms. It offers clinical structured data for oncology hospitals and hospitals to assist hospitals in solving scientific and clinical problems. The company was founded in 2014 and is headquartered in Beijing, China.
Blueshift Labs, Inc. is a San Francisco-based company that provides an intelligent customer engagement platform designed to enhance brand interactions with consumers. Founded in 2013, the company offers an AI-first SmartHub CDP that consolidates customer data across various channels and applications, enabling brands to deliver relevant and personalized experiences in real-time. Blueshift's platform includes features such as email automation, mobile marketing, website personalization, contextual chat, and audience targeting, which allow marketers to tailor their communications based on customer interests, behaviors, and purchase patterns. The company serves notable clients including LendingTree, Udacity, Discovery, PayPal, Groupon, and the BBC, helping them to improve customer engagement and drive revenue growth. Blueshift also has offices in Charlotte, North Carolina; London, United Kingdom; and Pune, India.
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.
Apropose, Inc. is a Mountain View, California-based company that specializes in providing an analytics platform for web design. Founded in 2013 and spun out of the Stanford Computer Science Department, Apropose focuses on developing data-driven software solutions to address web design challenges across consumer, small business, and enterprise sectors. Its platform enables designers to search, aggregate, and operationalize design data from various websites, facilitating competitive intelligence by tracking competitor activities and testing cultures. This capability allows clients to enhance their design strategies and remain informed about significant changes in the digital landscape, ultimately leading to more efficient development processes.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Bitglass, Inc. is an information technology company that specializes in security solutions for enterprises transitioning to cloud and mobile environments. Founded in 2013 and based in Campbell, California, the company provides a comprehensive platform that ensures real-time data protection across various interactions and devices. Its offerings include a cloud access security broker, an on-device secure web gateway, and zero-trust network access, which collectively enable effective monitoring and protection of sensitive data. Bitglass’s solutions automatically segment, track, and secure confidential information while maintaining employee privacy. Additionally, the platform alerts clients to potential policy violations and security threats, ensuring business continuity and compliance. The company also has regional offices in Toronto, Canada.
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
Aerospike, Inc. is a technology company that specializes in NoSQL database solutions, offering both enterprise and open-source versions of its platform. The company provides a range of features, including key-value storage, flexible data models, user-defined functions, and geographic replication, which help organizations manage and scale their data effectively. Aerospike's solutions are designed to address data bottlenecks and reduce infrastructure complexity, making it suitable for a variety of applications, including fraud detection, e-commerce, and global digital payment systems. Founded in 2009 and headquartered in Mountain View, California, Aerospike serves a diverse clientele, from startups to Fortune 100 companies, and also offers community and enterprise support, as well as consulting services. The company has additional offices in Bengaluru, London, and Or Yehuda.
CrowdChat is a Palo Alto-based provider of a social engagement and big data analytics platform designed to facilitate public group conversations through hashtags across social media. The company offers a cloud-based platform that enables both consumers and businesses to participate in unified discussions, enhancing their social media engagement. Utilizing its proprietary 1-Click Community technology, CrowdChat analyzes data from social media followers, delivering real-time social analytics and insights that measure the impact of engagement. This innovative platform allows users to discuss specific topics using designated hashtags, maximizing the reach and effectiveness of their interactions.
Elastic develops the open-source Elastic Stack, which includes Elasticsearch, Kibana, Beats, and Logstash, along with X-Pack, offering additional commercial features. The company also provides Elastic Cloud, a fully hosted and managed solution that supports search, logging, and analytics in a scalable and reliable manner. With over 250 million cumulative downloads, the Elastic Stack serves thousands of organizations, including notable names like Cisco, eBay, Goldman Sachs, NASA, and The New York Times, facilitating critical functions such as data search, logging, metrics, and security. Elastic is backed by significant investment from firms such as Benchmark Capital and Index Ventures, and it operates with more than 900 employees across 30 countries.
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise.
Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively.
Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.
OpsClarity, Inc., based in Sunnyvale, California, specializes in operational data services for data center and cloud environments. Founded in 2013, the company focuses on performance monitoring solutions tailored for modern applications and data infrastructure. Its platform enables DevOps and engineering teams to visualize, comprehend, and troubleshoot complex and distributed applications effectively. By leveraging technology developed by experts from leading tech companies, OpsClarity's solution dynamically adapts to various components of a company’s fast data applications and infrastructure. This capability facilitates the identification of performance bottlenecks in microservices-based systems, thereby helping enterprises reduce downtime, optimize application performance, and enhance the overall user experience. As of 2017, OpsClarity operates as a subsidiary of Lightbend, Inc.
Silk is a cloud-based application that enables users to visualize their data online by the way of interactive web pages. Users can also share these data sets; invite others to edit them; embed them in publishing platforms such as Tumblr and WordPress; include price comparison charts, interactive salary databases, and more; organize images and videos; build location-based maps; covert spreadsheet into Silk pages; build personalized web applications; and so on. Silk was founded by Lon Boonen and Salar al Khafaji and is based in Amsterdam and San Francisco. The company is venture-backed by Atomico Ventures and New Enterprise Associates.
MongoDB, founded in 2007, offers a document-oriented NoSQL database designed to help businesses leverage data for transformative applications. With nearly 33,000 paying customers and over 1.5 million free users, MongoDB serves a diverse range of industries, enabling both startups and established companies to develop innovative solutions at a lower cost compared to traditional databases. The platform supports all major programming languages and is suitable for various deployment scenarios, providing both licenses and subscription services. MongoDB has established a robust ecosystem with over 30 million downloads and a network of more than 1,000 technology and service partners, reinforcing its position as a leader in the database market.
NodePrime is a developer of data center infrastructure software that enables service providers, SaaS companies, and online gaming enterprises to effectively manage extensive IT infrastructures. The company specializes in creating infrastructure platforms designed for organizations that operate large-scale cloud deployments, which can involve thousands of nodes. With a focus on reliability and efficiency, NodePrime supports its clients in optimizing their massive IT operations.
Cleversafe, Inc. develops Web-scale storage solutions. It offers an enterprise storage solution that enables businesses to store, manage, and access data at petabyte scale and more. The company provides content repository, Storage-as-a-Service, enterprise collaboration, backup, and archive solutions. It serves financial service and insurance, health care and life science, media and entertainment, oil and gas, service provider, and government markets worldwide. The company was founded in 2004 and is based in Chicago, Illinois. As of November 6, 2015, Cleversafe, Inc. operates as a subsidiary of International Business Machines Corporation.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.