Snowflake

Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.

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.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. The company's flagship products include Domino Cloud, a managed cloud infrastructure for running and scaling data models, and Domino On-Premise, which facilitates tracking, sharing, and auditing of analyses. Domino Data Lab serves a diverse range of industries, including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform is designed to empower data science teams, allowing organizations to manage and scale their data science efforts effectively. Notable clients like Allstate, Dell Technologies, and Bayer utilize Domino to enhance collaboration, accelerate research, and deliver impactful models. Founded in 2012 and based in San Francisco, California, Domino Data Lab was formerly known as Cerebro, Inc. and adopted its current name in February 2015.

Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.

DataOps is a framework that focuses on improving the quality, speed, and governance of data across organizations. It provides a comprehensive platform that integrates tools for agile automation and Internet of Things (IoT) data compression within cloud environments. The DataOps platform facilitates end-to-end orchestration and management, allowing for continuous integration and delivery, automated testing, and efficient data extraction, loading, and transformation processes. By streamlining these operations, DataOps enhances collaboration among stakeholders, reduces operational costs, and ensures data assurance while maintaining robust governance and security measures. This approach empowers businesses to develop faster and more efficiently, ultimately leading to better decision-making based on high-quality data.

Collibra NV is a data governance software company that provides a cloud-based platform designed to enhance data management and collaboration across organizations. Its key offerings include the Collibra Data Governance Center, which supports data governance and stewardship, and Collibra Connect, which integrates various data sources and applications for comprehensive governance. The platform also features Collibra Catalog, facilitating quick access to enterprise data, and Collibra Data Intelligence Cloud, which automates workflows and enhances visibility into the data ecosystem. Additionally, Collibra Privacy & Risk helps organizations manage personal data and comply with privacy regulations. Founded in 2008 and headquartered in Brussels, Belgium, with offices in several major cities, Collibra serves various industries, including financial services and healthcare. The company actively engages with its community through annual conferences and city tours, fostering collaboration among data citizens. It has established strategic partnerships to further enhance its offerings.

Sigma Computing, Inc. develops business intelligence and analytics solutions tailored for cloud data warehouses. Founded in 2014 and based in San Francisco, California, the company aims to provide self-service analytics that is accessible to all users, from data teams to analysts and domain experts. Its innovative Sigma Spreadsheet interface allows individuals to analyze data without the need for coding or data extraction, facilitating quick, insight-driven decision-making. By fostering an iterative and community-driven approach to analytics and business intelligence, Sigma Computing aligns business objectives with analytical processes, enabling data experts to concentrate on more innovative and rewarding projects.

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.

Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.

Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.

Alation, Inc. is a company that specializes in data intelligence solutions, providing an AI-driven platform designed for data search and discovery, governance, stewardship, and analytics. Founded in 2012 and headquartered in Redwood City, California, Alation aims to enhance the way organizations find, understand, and trust their data. Its innovative platform integrates machine learning with human collaboration to facilitate confident data-driven decisions. Alation's offerings include a data catalog that supports metadata management and self-service analytics, enabling users to understand data origins, usage, and governance. The company serves a diverse range of clients, including notable organizations such as the City of San Diego, eBay, Munich Re, and Pfizer, and is backed by several venture capital firms.

Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.

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.

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.