Select Star is an intelligent data discovery platform that focuses on improving data accessibility and understanding within organizations. It addresses common challenges faced by data scientists and business analysts, who often spend excessive time searching for the right data. The platform goes beyond a traditional data catalog by offering a user-friendly data portal that enables users to easily locate and comprehend data. Select Star's tool facilitates a clearer understanding of data, including its location, structure, and usage, thereby streamlining the data discovery process and enhancing efficiency for enterprises.
Scio is a search engine that aims to help in the finding of any piece of data via any tool in any company. The company's software integrates with multiple platforms to find precise data points and provide relevant search results, allowing employees to find required data points based on keywords.
Developer of a global data platform designed to unlock hidden insights from unstructured life science data. The company's platform uses machine learning technology to connect the dots from clinical trials to real-world data to generate a full life cycle Medtech perspective, enabling healthcare professionals to find the right information to make the right decisions.
Ponder Data Inc. specializes in providing enterprise-ready tools that facilitate rapid and flexible experimentation with data at scale. The company's platform is designed to enhance productivity for data teams by enabling them to obtain insights more swiftly, utilizing familiar tools. Ponder's technology focuses on maintaining scalable machine learning and analytics capabilities, allowing users to handle workloads of varying sizes while preserving the user-friendly nature of the pandas API. This approach empowers organizations to perform data science tasks efficiently and effectively, making it easier for teams to derive valuable insights from their data.
MDClone Ltd. is a company that specializes in software designed to analyze medical records while ensuring patient privacy. Founded in 2016 and based in Beersheba, Israel, MDClone's platform generates synthetic medical records for fictitious patients. This innovative approach allows researchers to study disease behavior, medical practices, and various healthcare dynamics without exposing actual patient data. The platform creates fictitious individuals with unique characteristics, preserving essential relationships between them, thus maintaining the integrity of medical information while safeguarding privacy. By enabling health organizations to harness the value of their data assets, MDClone significantly enhances the ways medical information is gathered, analyzed, and utilized in research and service delivery.
Redpanda is a queue for people who deal with massive data streams.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
ClickHouse is an open-source, column-oriented online analytical processing (OLAP) database management system that enables users to generate real-time analytical reports using SQL queries. The system is designed for high-performance query processing, allowing enterprises to handle large volumes of data efficiently. By reducing storage requirements and processing significant amounts of data within short timeframes, ClickHouse offers a secure, reliable, and scalable solution for data management. This capability is particularly beneficial for organizations seeking to optimize their data analytics and streamline data processing workflows.
LeapYear Technologies, Inc. operates a platform designed to help organizations extract value from sensitive data while ensuring its security and privacy. The platform allows domain experts, data scientists, and partner organizations to develop automated machine learning applications and APIs that facilitate the use of confidential and regulated data sources. By implementing differential privacy, LeapYear ensures that data can be utilized for analysis and machine learning without exposing or compromising individual data points. The company collaborates with major players in sectors such as financial services, healthcare, technology, and insurance to combine and analyze previously restricted data, enabling organizations to monetize these valuable assets effectively. Founded in 2014 and based in Berkeley, California, LeapYear Technologies was known as Shroudbase, Inc. prior to its name change in January 2015.
Acceldata, Inc. develops an enterprise data observability platform designed for analytics and artificial intelligence systems. Founded in 2018 and headquartered in Palo Alto, California, with additional offices in San Jose, California; Bengaluru, India; and Berlin, Germany, the company offers a comprehensive suite of services that includes data warehousing, data security, data preparation, accuracy forecasting, and data acquisition. Acceldata's platform enables end-to-end visibility and monitoring across multi-technology enterprise data pipelines, allowing users to track changes in data and processes while providing actionable insights powered by AI and machine learning. This functionality simplifies the understanding of data management for data professionals, operations teams, and executives alike.
Matillion Ltd. specializes in cloud data integration software that enables businesses to effectively manage and utilize their data. The company provides various solutions, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of data within cloud data warehouses. Additionally, Matillion Data Loader helps organizations load data from various sources into their cloud environments, while Matillion Business Intelligence offers self-service reporting and analytics capabilities. The company's offerings are designed to accelerate innovation and enhance decision-making for its clients, which include notable companies such as GE, Accenture, and Siemens. Founded in 2010 and headquartered in Manchester, United Kingdom, Matillion also has offices in New York City, Denver, and Seattle, serving a diverse customer base across more than 40 countries.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Scio is a search engine that aims to help in the finding of any piece of data via any tool in any company. The company's software integrates with multiple platforms to find precise data points and provide relevant search results, allowing employees to find required data points based on keywords.
Matillion Ltd. specializes in cloud data integration software that enables businesses to effectively manage and utilize their data. The company provides various solutions, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of data within cloud data warehouses. Additionally, Matillion Data Loader helps organizations load data from various sources into their cloud environments, while Matillion Business Intelligence offers self-service reporting and analytics capabilities. The company's offerings are designed to accelerate innovation and enhance decision-making for its clients, which include notable companies such as GE, Accenture, and Siemens. Founded in 2010 and headquartered in Manchester, United Kingdom, Matillion also has offices in New York City, Denver, and Seattle, serving a diverse customer base across more than 40 countries.
Redpanda is a queue for people who deal with massive data streams.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
DataFleets Ltd. designs and develops data analytics software that transforms, analyze, and visualize data. It owns and operates a platform for federated intelligence that helps businesses merge and analyze data on-prem, in the cloud, at the edge. Its technology is used in location agnostic, streamline security, and forward collaboration. Also, it provides a web-based notebook editor for data to test hypotheses. The company was founded in 2018 and is headquartered in Palo Alto, California.
Acceldata, Inc. develops an enterprise data observability platform designed for analytics and artificial intelligence systems. Founded in 2018 and headquartered in Palo Alto, California, with additional offices in San Jose, California; Bengaluru, India; and Berlin, Germany, the company offers a comprehensive suite of services that includes data warehousing, data security, data preparation, accuracy forecasting, and data acquisition. Acceldata's platform enables end-to-end visibility and monitoring across multi-technology enterprise data pipelines, allowing users to track changes in data and processes while providing actionable insights powered by AI and machine learning. This functionality simplifies the understanding of data management for data professionals, operations teams, and executives alike.
Varada Ltd. is a Tel Aviv-based company that specializes in cloud-based data warehousing as a service (DWaaS) designed for big data analytics. Established in 2016, Varada's platform enables data architects to enhance and optimize workloads through dynamic analysis and adaptive indexing, providing significant control over performance and costs. Its solution is tailored to support a wide range of analytical use cases at scale, positioning it as a competitor to major cloud platforms in the data warehousing space. Varada's technology leverages advanced system architecture and cost-effective pricing, incorporating flash and NVMe technologies, to facilitate interactive analytics on a petabyte scale, making it accessible for any SQL consumer to query various data sources efficiently.
MemVerge specializes in memory storage convergence software that integrates memory and storage to enhance data processing capabilities. The company's innovative platform utilizes proprietary Distributed Memory Objects (DMO) technology, creating a logical convergence layer that leverages Intel's Optane DC persistent memory. This technology allows data-intensive workloads, including artificial intelligence, machine learning, big data analytics, and IoT applications, to operate at memory speed, ensuring data consistency across various systems. By enabling enterprises to manage both small and large files efficiently, MemVerge empowers organizations to extract insights from their data more effectively.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Redpanda is a queue for people who deal with massive data streams.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
MDClone Ltd. is a company that specializes in software designed to analyze medical records while ensuring patient privacy. Founded in 2016 and based in Beersheba, Israel, MDClone's platform generates synthetic medical records for fictitious patients. This innovative approach allows researchers to study disease behavior, medical practices, and various healthcare dynamics without exposing actual patient data. The platform creates fictitious individuals with unique characteristics, preserving essential relationships between them, thus maintaining the integrity of medical information while safeguarding privacy. By enabling health organizations to harness the value of their data assets, MDClone significantly enhances the ways medical information is gathered, analyzed, and utilized in research and service delivery.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
Spate, Inc. is a data analytics company based in New York that specializes in analyzing consumer behavior signals from various online sources. Founded in 2018, Spate employs advanced data science techniques to predict emerging consumer trends and provide actionable insights for brands. By leveraging machine intelligence, the company aims to identify new trends and understand their underlying drivers, enabling consumer brands to make informed decisions in product development and marketing strategies. Spate's focus on data-backed insights supports brands in confidently responding to evolving market demands.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
LeapYear Technologies, Inc. operates a platform designed to help organizations extract value from sensitive data while ensuring its security and privacy. The platform allows domain experts, data scientists, and partner organizations to develop automated machine learning applications and APIs that facilitate the use of confidential and regulated data sources. By implementing differential privacy, LeapYear ensures that data can be utilized for analysis and machine learning without exposing or compromising individual data points. The company collaborates with major players in sectors such as financial services, healthcare, technology, and insurance to combine and analyze previously restricted data, enabling organizations to monetize these valuable assets effectively. Founded in 2014 and based in Berkeley, California, LeapYear Technologies was known as Shroudbase, Inc. prior to its name change in January 2015.
MemVerge specializes in memory storage convergence software that integrates memory and storage to enhance data processing capabilities. The company's innovative platform utilizes proprietary Distributed Memory Objects (DMO) technology, creating a logical convergence layer that leverages Intel's Optane DC persistent memory. This technology allows data-intensive workloads, including artificial intelligence, machine learning, big data analytics, and IoT applications, to operate at memory speed, ensuring data consistency across various systems. By enabling enterprises to manage both small and large files efficiently, MemVerge empowers organizations to extract insights from their data more effectively.
ECheng (e成) is a B2B SaaS platform that provides HR matching and resume screening for enterprises. Using machine learning, data mining, and NLP (natural language processing), the company categorizes resumes that best fit the job requirements of the client company. The company was launched in 2013 by industry veterans from Baidu, IBM, and Microsoft, serving multinational conglomerates as well as small and medium-sized companies.
Scio is a search engine that aims to help in the finding of any piece of data via any tool in any company. The company's software integrates with multiple platforms to find precise data points and provide relevant search results, allowing employees to find required data points based on keywords.
Varada Ltd. is a Tel Aviv-based company that specializes in cloud-based data warehousing as a service (DWaaS) designed for big data analytics. Established in 2016, Varada's platform enables data architects to enhance and optimize workloads through dynamic analysis and adaptive indexing, providing significant control over performance and costs. Its solution is tailored to support a wide range of analytical use cases at scale, positioning it as a competitor to major cloud platforms in the data warehousing space. Varada's technology leverages advanced system architecture and cost-effective pricing, incorporating flash and NVMe technologies, to facilitate interactive analytics on a petabyte scale, making it accessible for any SQL consumer to query various data sources efficiently.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Acceldata, Inc. develops an enterprise data observability platform designed for analytics and artificial intelligence systems. Founded in 2018 and headquartered in Palo Alto, California, with additional offices in San Jose, California; Bengaluru, India; and Berlin, Germany, the company offers a comprehensive suite of services that includes data warehousing, data security, data preparation, accuracy forecasting, and data acquisition. Acceldata's platform enables end-to-end visibility and monitoring across multi-technology enterprise data pipelines, allowing users to track changes in data and processes while providing actionable insights powered by AI and machine learning. This functionality simplifies the understanding of data management for data professionals, operations teams, and executives alike.
DIRT Protocol, founded in 2017 and based in the United States, offers a platform for decentralized curation of trusted data sets. The protocol utilizes a token staking mechanism to promote honesty and accuracy in information sharing, distinguishing itself from traditional Token Curated Registries. Users can contribute data similarly to a collaborative platform like Wikipedia, but must stake tokens to ensure accountability. This economic incentive fosters a system where incorrect information can be challenged, allowing users to earn tokens for identifying inaccuracies. By organizing information registries, DIRT Protocol aims to maintain high-quality data while making it freely accessible, thereby reducing the prevalence of misinformation.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
MDClone Ltd. is a company that specializes in software designed to analyze medical records while ensuring patient privacy. Founded in 2016 and based in Beersheba, Israel, MDClone's platform generates synthetic medical records for fictitious patients. This innovative approach allows researchers to study disease behavior, medical practices, and various healthcare dynamics without exposing actual patient data. The platform creates fictitious individuals with unique characteristics, preserving essential relationships between them, thus maintaining the integrity of medical information while safeguarding privacy. By enabling health organizations to harness the value of their data assets, MDClone significantly enhances the ways medical information is gathered, analyzed, and utilized in research and service delivery.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Qubole is a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. With Qubole, data scientists can now spin up hundreds of clusters on their public cloud of choice and begin developing ad hoc and/or batch queries faster and have the system autoscale to the optimal compute levels as needed.
Sourceress is an AI recruiter that is reinventing how people find jobs. With tailor-made machine learning models, they rigorously define what a company is looking for in a role, identify great candidates, and engage candidates with highly personalized introductions. Their process creates a stream of interested candidates that hiring managers are excited about more than 85% of the time. Their mission is to accelerate human progress by helping people work in jobs that matter. They raised $3M from Y Combinator, Lightspeed Venture Partners and OpenAI researchers.
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.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Ascend.io is a Palo Alto-based company that has developed an innovative platform for managing big data pipelines through its Autonomous Dataflow Service. This platform allows data engineers to create, scale, and operate Apache Spark-based data pipelines with significantly reduced coding requirements. It runs natively on major cloud services, including Microsoft Azure, Amazon Web Services, and Google Cloud Platform. By utilizing a combination of declarative configurations and automation, Ascend.io streamlines cloud infrastructure management, optimizes data pipelines, and minimizes maintenance throughout the data lifecycle. The company's solutions enable business managers to initiate projects, integrate with applications, and make informed decisions with ease. Ascend.io is supported by prominent venture capital firms and notable industry advisors, enhancing its position in the big data analytics landscape.
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.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
Qubole is a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. With Qubole, data scientists can now spin up hundreds of clusters on their public cloud of choice and begin developing ad hoc and/or batch queries faster and have the system autoscale to the optimal compute levels as needed.
Ascend.io is a Palo Alto-based company that has developed an innovative platform for managing big data pipelines through its Autonomous Dataflow Service. This platform allows data engineers to create, scale, and operate Apache Spark-based data pipelines with significantly reduced coding requirements. It runs natively on major cloud services, including Microsoft Azure, Amazon Web Services, and Google Cloud Platform. By utilizing a combination of declarative configurations and automation, Ascend.io streamlines cloud infrastructure management, optimizes data pipelines, and minimizes maintenance throughout the data lifecycle. The company's solutions enable business managers to initiate projects, integrate with applications, and make informed decisions with ease. Ascend.io is supported by prominent venture capital firms and notable industry advisors, enhancing its position in the big data analytics landscape.
EverString Technology Inc. operates a cloud-based predictive analytics platform designed for B2B companies to identify and engage with customer prospects. Founded in 2012 and based in San Mateo, California, the platform utilizes advanced analytics to track various features of prospects and analyze user data to identify customer characteristics. It offers predictive scoring, demand generation, and advertisement targeting, allowing clients to build new pipelines and improve conversion rates. The platform is tailored for sales and marketing professionals, providing tools to drive pipeline growth, close new customers, expand into new markets, and prioritize accounts through actionable insights. As of November 2020, EverString operates as a subsidiary of ZoomInfo Technologies Inc.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Datos IO provides the industry’s first cloud-scale, application-centric, data management platform enabling organizations to protect, mobilize, and monetize all their application data across private cloud, hybrid cloud and public cloud environments. Datos IO has been recognized by Gartner in their 2016 Hype Cycle for Storage Technologies and was more recently awarded 2016 Product of the Year by Storage Magazine. Backed by Lightspeed Venture Partners and True Ventures, Datos IO is headquartered in San Jose, California. To learn more, please visit http://datos.io.
Qubole is a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. With Qubole, data scientists can now spin up hundreds of clusters on their public cloud of choice and begin developing ad hoc and/or batch queries faster and have the system autoscale to the optimal compute levels as needed.
DataStax, Inc. specializes in providing database software tailored for cloud applications, serving a diverse clientele that includes Fortune 100 companies globally. Its flagship product, DataStax Enterprise, enhances the capabilities of Apache Cassandra, offering fast performance and reliability for online applications. The company also features DataStax OpsCenter, a management and monitoring tool for database administrators, and K8ssandra, an open-source solution for deploying Cassandra on Kubernetes. Additionally, DataStax Astra offers a database-as-a-service platform that significantly accelerates deployment times, while DataStax Constellation streamlines the development and operation of modern applications. The company also provides training, support, and consulting services to ensure effective database management. Founded in 2010 and headquartered in Santa Clara, California, DataStax maintains a global presence with offices in several countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland.
EverString Technology Inc. operates a cloud-based predictive analytics platform designed for B2B companies to identify and engage with customer prospects. Founded in 2012 and based in San Mateo, California, the platform utilizes advanced analytics to track various features of prospects and analyze user data to identify customer characteristics. It offers predictive scoring, demand generation, and advertisement targeting, allowing clients to build new pipelines and improve conversion rates. The platform is tailored for sales and marketing professionals, providing tools to drive pipeline growth, close new customers, expand into new markets, and prioritize accounts through actionable insights. As of November 2020, EverString operates as a subsidiary of ZoomInfo Technologies Inc.
Arimo Inc. is an information technology company that specializes in data intelligence applications, focusing on big data, machine learning, and business analytics. Founded in 2012 and headquartered in Mountain View, California, Arimo provides an interface that facilitates collaboration among business users, data scientists, developers, and data engineers to derive insights from large datasets. The company's behavioral AI platform leverages distributed deep learning architectures to analyze behavioral patterns and extract meaningful signals from vast amounts of data. This enables enterprises to make accurate predictions and optimize their operations to enhance profitability. Arimo's solutions are available both on-premise and in the cloud, catering to a diverse range of business needs. In 2017, Arimo became a subsidiary of Panasonic Corporation.
Hansight (Beijing) Software Technology Co., Ltd. offers data collection, processing, and analysis services for real time data security. It offers its services to industries, including finance, energy, government, manufacturing, and medical. The company was founded in 2014 and is based in Beijing, China.
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.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
Primary Data, founded in 2013 and headquartered in Sandy, Utah, specializes in intelligence and automation software for enterprise data management. Its flagship product, the DataSphere platform, leverages metadata management and machine learning to optimize the movement of data across both on-premises IT infrastructure and cloud environments. This platform enables enterprises to manage vast amounts of data seamlessly, making heterogeneous data stores accessible to various applications without interrupting operations. By facilitating data migration, cloud integration, and enhancing NAS performance, DataSphere empowers organizations to efficiently handle petabyte-scale data and maximize the value of their infrastructure investments.
Jut, Inc. is a development stage company based in San Francisco, California, that focuses on creating applications designed to facilitate user interaction with data-related challenges. Formerly known as Osprey Labs, the company is currently operating in stealth mode, working on solutions that enable businesses to effectively capture and analyze big data. Incorporated in 2013, Jut aims to address the complexities of data management for organizations.
Primary Data, founded in 2013 and headquartered in Sandy, Utah, specializes in intelligence and automation software for enterprise data management. Its flagship product, the DataSphere platform, leverages metadata management and machine learning to optimize the movement of data across both on-premises IT infrastructure and cloud environments. This platform enables enterprises to manage vast amounts of data seamlessly, making heterogeneous data stores accessible to various applications without interrupting operations. By facilitating data migration, cloud integration, and enhancing NAS performance, DataSphere empowers organizations to efficiently handle petabyte-scale data and maximize the value of their infrastructure investments.
Zest AI makes the power of machine learning safe to use in credit underwriting. The Zest Model Management System enables lenders to analyze vast amounts of credit data to help increase approval rates and reduce the risk of faulty credit decisions. The platform also provides the ability to explain data modeling results to measure business impact and help comply with regulatory requirements. Lenders using Zest AI software make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Zest AI was founded in 2009 with the mission of making fair and transparent credit available to everyone. Learn more at http://www.zest.ai.
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.
DataStax, Inc. specializes in providing database software tailored for cloud applications, serving a diverse clientele that includes Fortune 100 companies globally. Its flagship product, DataStax Enterprise, enhances the capabilities of Apache Cassandra, offering fast performance and reliability for online applications. The company also features DataStax OpsCenter, a management and monitoring tool for database administrators, and K8ssandra, an open-source solution for deploying Cassandra on Kubernetes. Additionally, DataStax Astra offers a database-as-a-service platform that significantly accelerates deployment times, while DataStax Constellation streamlines the development and operation of modern applications. The company also provides training, support, and consulting services to ensure effective database management. Founded in 2010 and headquartered in Santa Clara, California, DataStax maintains a global presence with offices in several countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland.
EdgeSpring specializes in providing visual analytics and business intelligence solutions that facilitate data-driven decision-making for businesses. By offering a streamlined approach to data analysis, EdgeSpring aims to empower organizations to derive insights quickly and efficiently. Their platform is designed to simplify the process of interpreting complex data sets, enabling users to make informed decisions that enhance business performance.
Qubole is a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. With Qubole, data scientists can now spin up hundreds of clusters on their public cloud of choice and begin developing ad hoc and/or batch queries faster and have the system autoscale to the optimal compute levels as needed.
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.
Zest AI makes the power of machine learning safe to use in credit underwriting. The Zest Model Management System enables lenders to analyze vast amounts of credit data to help increase approval rates and reduce the risk of faulty credit decisions. The platform also provides the ability to explain data modeling results to measure business impact and help comply with regulatory requirements. Lenders using Zest AI software make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Zest AI was founded in 2009 with the mission of making fair and transparent credit available to everyone. Learn more at http://www.zest.ai.
DataStax, Inc. specializes in providing database software tailored for cloud applications, serving a diverse clientele that includes Fortune 100 companies globally. Its flagship product, DataStax Enterprise, enhances the capabilities of Apache Cassandra, offering fast performance and reliability for online applications. The company also features DataStax OpsCenter, a management and monitoring tool for database administrators, and K8ssandra, an open-source solution for deploying Cassandra on Kubernetes. Additionally, DataStax Astra offers a database-as-a-service platform that significantly accelerates deployment times, while DataStax Constellation streamlines the development and operation of modern applications. The company also provides training, support, and consulting services to ensure effective database management. Founded in 2010 and headquartered in Santa Clara, California, DataStax maintains a global presence with offices in several countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
Wefi's patented technology provides customers deep and broad insights into app usage, user engagement, behavior, and experience patterns. With the industry's largest mobile usage database - processing billions of records daily - wefi provides its customers with significant competitive Business Intelligence. Wireless carriers, cable operators, content providers, brands, application developers and marketers use wefi to improve users' mobile experience, optimize networks, predict data consumption demand, understand consumers' usage patterns and plan better campaigns.
Zest AI makes the power of machine learning safe to use in credit underwriting. The Zest Model Management System enables lenders to analyze vast amounts of credit data to help increase approval rates and reduce the risk of faulty credit decisions. The platform also provides the ability to explain data modeling results to measure business impact and help comply with regulatory requirements. Lenders using Zest AI software make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Zest AI was founded in 2009 with the mission of making fair and transparent credit available to everyone. Learn more at http://www.zest.ai.
DataStax, Inc. specializes in providing database software tailored for cloud applications, serving a diverse clientele that includes Fortune 100 companies globally. Its flagship product, DataStax Enterprise, enhances the capabilities of Apache Cassandra, offering fast performance and reliability for online applications. The company also features DataStax OpsCenter, a management and monitoring tool for database administrators, and K8ssandra, an open-source solution for deploying Cassandra on Kubernetes. Additionally, DataStax Astra offers a database-as-a-service platform that significantly accelerates deployment times, while DataStax Constellation streamlines the development and operation of modern applications. The company also provides training, support, and consulting services to ensure effective database management. Founded in 2010 and headquartered in Santa Clara, California, DataStax maintains a global presence with offices in several countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland.
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.
Zest AI makes the power of machine learning safe to use in credit underwriting. The Zest Model Management System enables lenders to analyze vast amounts of credit data to help increase approval rates and reduce the risk of faulty credit decisions. The platform also provides the ability to explain data modeling results to measure business impact and help comply with regulatory requirements. Lenders using Zest AI software make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Zest AI was founded in 2009 with the mission of making fair and transparent credit available to everyone. Learn more at http://www.zest.ai.
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.
DataStax, Inc. specializes in providing database software tailored for cloud applications, serving a diverse clientele that includes Fortune 100 companies globally. Its flagship product, DataStax Enterprise, enhances the capabilities of Apache Cassandra, offering fast performance and reliability for online applications. The company also features DataStax OpsCenter, a management and monitoring tool for database administrators, and K8ssandra, an open-source solution for deploying Cassandra on Kubernetes. Additionally, DataStax Astra offers a database-as-a-service platform that significantly accelerates deployment times, while DataStax Constellation streamlines the development and operation of modern applications. The company also provides training, support, and consulting services to ensure effective database management. Founded in 2010 and headquartered in Santa Clara, California, DataStax maintains a global presence with offices in several countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland.
EdgeSpring specializes in providing visual analytics and business intelligence solutions that facilitate data-driven decision-making for businesses. By offering a streamlined approach to data analysis, EdgeSpring aims to empower organizations to derive insights quickly and efficiently. Their platform is designed to simplify the process of interpreting complex data sets, enabling users to make informed decisions that enhance business performance.
Wefi's patented technology provides customers deep and broad insights into app usage, user engagement, behavior, and experience patterns. With the industry's largest mobile usage database - processing billions of records daily - wefi provides its customers with significant competitive Business Intelligence. Wireless carriers, cable operators, content providers, brands, application developers and marketers use wefi to improve users' mobile experience, optimize networks, predict data consumption demand, understand consumers' usage patterns and plan better campaigns.
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.
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.
Star Analytics is a leading provider of business analytics software, specializing in process automation and application integration across hybrid computing environments. Founded in 2004 and based in San Mateo, California, the company offers two primary products: Star Command Center (SCC) and Star Integration Server (SIS). SCC simplifies and controls automated processes supporting various applications, effectively addressing automation challenges in diverse computing environments. SIS serves as a data bridge, enabling the extraction and sharing of critical business data from Oracle's suite of applications, such as Essbase and Hyperion Planning. This functionality enhances the use of data across multiple reporting applications and data warehouses, allowing organizations to maximize their enterprise performance management investments and establish standardized corporate reporting practices. Star Analytics' technology is utilized across various industries, including numerous Fortune 500 companies.
Wefi's patented technology provides customers deep and broad insights into app usage, user engagement, behavior, and experience patterns. With the industry's largest mobile usage database - processing billions of records daily - wefi provides its customers with significant competitive Business Intelligence. Wireless carriers, cable operators, content providers, brands, application developers and marketers use wefi to improve users' mobile experience, optimize networks, predict data consumption demand, understand consumers' usage patterns and plan better campaigns.
Celequest Corporation provides operational business intelligence solutions to enterprises. It provides LAVA, a business intelligence solution that enables companies to provide up-to-the-time-minute business information to operational workers and empowers decision makers to spot emerging trends. The company provides solutions in the areas of financial performance management, risk mitigation, manufacturing operations, demand visibility, inventory monitoring, sales analysis, margin optimization, and logistics monitoring. It offers its solution as an appliance and as software-as-a-service. The company was founded in 2002 as Viewceler Corp. and changed its name to Celequest Corporation in June 2003. The company is headquartered in Redwood City, California. Celequest Corporation operates as a subsidiary of International Business Machines Corp.
Celequest Corporation provides operational business intelligence solutions to enterprises. It provides LAVA, a business intelligence solution that enables companies to provide up-to-the-time-minute business information to operational workers and empowers decision makers to spot emerging trends. The company provides solutions in the areas of financial performance management, risk mitigation, manufacturing operations, demand visibility, inventory monitoring, sales analysis, margin optimization, and logistics monitoring. It offers its solution as an appliance and as software-as-a-service. The company was founded in 2002 as Viewceler Corp. and changed its name to Celequest Corporation in June 2003. The company is headquartered in Redwood City, California. Celequest Corporation operates as a subsidiary of International Business Machines Corp.