Redpoint

Timescale, Inc. owns and operates data analysis platform for scale, ease of use, and complex queries. Its product includes TimescaleDB, which is an open source time-series database that supports full SQL; and Community, which is a software developed for time-series database optimized for advanced analytics and built for production use cases. Timescale, Inc. was formerly known as IoBeam. The company was incorporated in 2011 and is based in New York, New York with additional offices in Stockholm, Sweden and Los Angeles, California.

ClickHouse is an open-source, column-oriented OLAP database management system that allows users to generate analytical reports using SQL queries in real-time.

Materialize is a streaming SQL database company that makes it easy for developers to understand streaming data, answer complex questions, and build intelligent applications using standard technology. Materialize allows users to ask questions about their data, and then get low-latency results even as the underlying data changes and keeps the results of the queries and incrementally updates them as new data comes in.

Preset is an open analytics data platform, built on Apache Superset™, that makes any team productive with data. With an intuitive visual interface, Preset empowers users to explore and analyze their data. Flexible dashboarding capabilities and a deep set of visualization types make communicating and sharing data-driven insights simple and fast. Lightweight and cloud native, Preset supports the workflows of modern teams.

Preset is an open analytics data platform, built on Apache Superset™, that makes any team productive with data. With an intuitive visual interface, Preset empowers users to explore and analyze their data. Flexible dashboarding capabilities and a deep set of visualization types make communicating and sharing data-driven insights simple and fast. Lightweight and cloud native, Preset supports the workflows of modern teams.

Dune Analytics AS is a data analytics platform focused on blockchain research, particularly for the Ethereum network. Founded in 2018 and based in Oslo, Norway, the company offers tools that enable users to query, extract, and visualize extensive data from the Ethereum blockchain. Its community-driven approach allows users to collaborate and share insights, making it a valuable resource for researchers, developers, and analysts in the blockchain space.

Timescale, Inc. owns and operates data analysis platform for scale, ease of use, and complex queries. Its product includes TimescaleDB, which is an open source time-series database that supports full SQL; and Community, which is a software developed for time-series database optimized for advanced analytics and built for production use cases. Timescale, Inc. was formerly known as IoBeam. The company was incorporated in 2011 and is based in New York, New York with additional offices in Stockholm, Sweden and Los Angeles, California.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language engine designed to enhance data accessibility and processing speed. Its flagship product, Dremio, serves as a data lake engine that enables users to perform queries directly on data lake storage while providing a self-service semantic layer. The platform empowers business users to curate and analyze data from various sources, thereby facilitating processes for business intelligence, data science, machine learning, and SQL clients. By streamlining analytical processing and improving productivity for data engineers, analysts, and scientists, Dremio enhances the self-sufficiency of data consumers in their decision-making processes.

Nebula Graph, an open-source and distributed graph database solution, is trying help businesses gain valuable insights from the increasingly inter-connected and large datasets. With an advanced architecture, Nebula Graph is capable of providing high throughput and low latency.

Nebula Graph, an open-source and distributed graph database solution, is trying help businesses gain valuable insights from the increasingly inter-connected and large datasets. With an advanced architecture, Nebula Graph is capable of providing high throughput and low latency.

DataCanvas is a data analysis service platform based in China.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language engine designed to enhance data accessibility and processing speed. Its flagship product, Dremio, serves as a data lake engine that enables users to perform queries directly on data lake storage while providing a self-service semantic layer. The platform empowers business users to curate and analyze data from various sources, thereby facilitating processes for business intelligence, data science, machine learning, and SQL clients. By streamlining analytical processing and improving productivity for data engineers, analysts, and scientists, Dremio enhances the self-sufficiency of data consumers in their decision-making processes.

Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

DataCanvas is a data analysis service platform based in China.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language engine designed to enhance data accessibility and processing speed. Its flagship product, Dremio, serves as a data lake engine that enables users to perform queries directly on data lake storage while providing a self-service semantic layer. The platform empowers business users to curate and analyze data from various sources, thereby facilitating processes for business intelligence, data science, machine learning, and SQL clients. By streamlining analytical processing and improving productivity for data engineers, analysts, and scientists, Dremio enhances the self-sufficiency of data consumers in their decision-making processes.

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.

DataCanvas is a data analysis service platform based in 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.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language engine designed to enhance data accessibility and processing speed. Its flagship product, Dremio, serves as a data lake engine that enables users to perform queries directly on data lake storage while providing a self-service semantic layer. The platform empowers business users to curate and analyze data from various sources, thereby facilitating processes for business intelligence, data science, machine learning, and SQL clients. By streamlining analytical processing and improving productivity for data engineers, analysts, and scientists, Dremio enhances the self-sufficiency of data consumers in their decision-making processes.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language engine designed to enhance data accessibility and processing speed. Its flagship product, Dremio, serves as a data lake engine that enables users to perform queries directly on data lake storage while providing a self-service semantic layer. The platform empowers business users to curate and analyze data from various sources, thereby facilitating processes for business intelligence, data science, machine learning, and SQL clients. By streamlining analytical processing and improving productivity for data engineers, analysts, and scientists, Dremio enhances the self-sufficiency of data consumers in their decision-making processes.

Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

There are almost 10 billion devices collecting location data that didn't exist just a few years ago - we created Mapsense to help people deal with this tsunami of geospatial data. By providing lightning-fast tools to filter, search, and visualize location data at any scale, we'll improve the world by enabling people to answer important questions about what happens where. Our team is a group of engineering, product and computer scientist from Google, Palantir and the Ivy League. We're backed by tier one VCs and are working with some of the most innovative companies in the world.

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.

Tidemark is a company specializing in enterprise performance management applications that deliver analytics and forecasting solutions for organizations. Its suite includes three main applications that enable users to access real-time, risk-adjusted data metrics, profitability modeling, and tools designed for strategic, financial, and operational planning. Additionally, Tidemark offers a SaaS product called Storylines, which presents both structured and unstructured data in an infographic format, allowing users to gain an interactive and comprehensive view of their operations. The software also integrates financial playbooks and predictive analytics, utilizing big data and social media insights for enhanced forecasting and budgeting capabilities. Founded in 2010 by Christian Gheorghe, Tony Rizzo, and Nenshad Bardoliwalla, Tidemark is based in Redwood City, California.

Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

Tidemark is a company specializing in enterprise performance management applications that deliver analytics and forecasting solutions for organizations. Its suite includes three main applications that enable users to access real-time, risk-adjusted data metrics, profitability modeling, and tools designed for strategic, financial, and operational planning. Additionally, Tidemark offers a SaaS product called Storylines, which presents both structured and unstructured data in an infographic format, allowing users to gain an interactive and comprehensive view of their operations. The software also integrates financial playbooks and predictive analytics, utilizing big data and social media insights for enhanced forecasting and budgeting capabilities. Founded in 2010 by Christian Gheorghe, Tony Rizzo, and Nenshad Bardoliwalla, Tidemark is based in Redwood City, California.

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.

Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

Tidemark is a company specializing in enterprise performance management applications that deliver analytics and forecasting solutions for organizations. Its suite includes three main applications that enable users to access real-time, risk-adjusted data metrics, profitability modeling, and tools designed for strategic, financial, and operational planning. Additionally, Tidemark offers a SaaS product called Storylines, which presents both structured and unstructured data in an infographic format, allowing users to gain an interactive and comprehensive view of their operations. The software also integrates financial playbooks and predictive analytics, utilizing big data and social media insights for enhanced forecasting and budgeting capabilities. Founded in 2010 by Christian Gheorghe, Tony Rizzo, and Nenshad Bardoliwalla, Tidemark is based in Redwood City, California.

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.

Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.