Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
Developer of a visual user interface building platform intended to democratize software creation and empower everyone to bring their ideas to life. The company's platform allows people to create visual content and pages by seamlessly integrating no-code into their codebase, enabling developers and content creators to make production-ready presentational components while saving time and resources.
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.
GRID empowers every-day Excel users to turn their spreadsheets into modern web applications without learning any new skills. It enables the users to instantly turn any spreadsheet into a beautiful, interactive web document that can be securely shared and analyzed online.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
GrowingIO is a leading analytic platform provider in China focusing on driving business growth through data insights.Their product help customer tracking data, building dashboard and analyze quick insights. The platform can track user behavior data on App, Mini app (wechat) and web.
GrowingIO was founded in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. And it is headquartered in Beijing, China.
OmniSci, Inc. specializes in accelerated analytics solutions powered by graphics processing units (GPUs). Its analytics platform enables users to interactively query and visualize data, facilitating data science workflows across vast datasets. This technology is utilized by various sectors, including automotive, insurance, investment management, logistics, media, oil and gas, pharmaceuticals, telecommunications, utilities, and public services. The platform stands out by allowing organizations to derive insights from data far beyond the capabilities of conventional analytics tools. OmniSci's origins trace back to research at Harvard and the MIT Computer Science and Artificial Intelligence Laboratory. Established in 2013 and headquartered in San Francisco, the company has formed strategic partnerships with several prominent investors and firms, including Google Ventures, In-Q-Tel, and NVIDIA. OmniSci aims to support both business and government entities in leveraging data for informed decision-making.
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.
Vizbee Inc. is a technology company founded in 2014 and headquartered in New York, New York. The company specializes in providing innovative solutions designed to enhance video streaming and content distribution across various platforms. By leveraging advanced technologies, Vizbee aims to improve user engagement and optimize the viewing experience for audiences. The company's offerings cater to media companies, advertisers, and content creators, enabling them to reach their target audiences more effectively and efficiently. Through its focus on delivering quality streaming experiences, Vizbee has positioned itself as a key player in the evolving landscape of digital media.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
VividCortex, Inc. specializes in Software as a Service (SaaS) solutions for database performance monitoring and analysis, focusing on MySQL and other major open-source databases such as PostgreSQL, Amazon Aurora, MongoDB, and Redis. Founded in 2012 and headquartered in Northern Virginia, VividCortex provides tools that enhance system performance, team efficiency, and cost savings by offering comprehensive visibility into database behavior. Its platform enables organizations to measure and analyze database workload and query performance using patented algorithms, allowing for proactive resolution of database issues. Industry leaders, including Etsy and GitHub, utilize VividCortex for all-query monitoring and detailed insights across thousands of servers. The company emphasizes a unique approach to database monitoring, distinguishing itself from traditional application performance tools that often lack transparency in the data tier. By delivering specialized tools designed for high-performance, stateful databases, VividCortex helps teams optimize their applications and improve service delivery.
OmniSci, Inc. specializes in accelerated analytics solutions powered by graphics processing units (GPUs). Its analytics platform enables users to interactively query and visualize data, facilitating data science workflows across vast datasets. This technology is utilized by various sectors, including automotive, insurance, investment management, logistics, media, oil and gas, pharmaceuticals, telecommunications, utilities, and public services. The platform stands out by allowing organizations to derive insights from data far beyond the capabilities of conventional analytics tools. OmniSci's origins trace back to research at Harvard and the MIT Computer Science and Artificial Intelligence Laboratory. Established in 2013 and headquartered in San Francisco, the company has formed strategic partnerships with several prominent investors and firms, including Google Ventures, In-Q-Tel, and NVIDIA. OmniSci aims to support both business and government entities in leveraging data for informed decision-making.
Ravel operates an online legal analytics and visualization platform that assists lawyers and law students in uncovering insights from legal data. Founded in 2012 and based in San Francisco, the company originated from Stanford University's Law School and Computer Science Department. Ravel provides a suite of tools including court, judge, and case analytics, along with interactive visualizations that help users understand and interpret complex legal information. The platform is designed to empower legal professionals by transforming the way they conduct research and prepare for litigation, enabling them to contextualize and analyze vast amounts of legal information effectively. Ravel serves a diverse clientele, including attorneys, law clerks, and legal research enthusiasts across the United States. As of 2017, Ravel operates as a subsidiary of LexisNexis Legal & Professional Inc.
GrowingIO is a leading analytic platform provider in China focusing on driving business growth through data insights.Their product help customer tracking data, building dashboard and analyze quick insights. The platform can track user behavior data on App, Mini app (wechat) and web.
GrowingIO was founded in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. And it is headquartered in Beijing, China.
VividCortex, Inc. specializes in Software as a Service (SaaS) solutions for database performance monitoring and analysis, focusing on MySQL and other major open-source databases such as PostgreSQL, Amazon Aurora, MongoDB, and Redis. Founded in 2012 and headquartered in Northern Virginia, VividCortex provides tools that enhance system performance, team efficiency, and cost savings by offering comprehensive visibility into database behavior. Its platform enables organizations to measure and analyze database workload and query performance using patented algorithms, allowing for proactive resolution of database issues. Industry leaders, including Etsy and GitHub, utilize VividCortex for all-query monitoring and detailed insights across thousands of servers. The company emphasizes a unique approach to database monitoring, distinguishing itself from traditional application performance tools that often lack transparency in the data tier. By delivering specialized tools designed for high-performance, stateful databases, VividCortex helps teams optimize their applications and improve service delivery.
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.
Timescale, Inc. operates a data analysis platform focused on time-series data, featuring its flagship product, TimescaleDB. This open-source time-series database, built as an extension of PostgreSQL, supports full SQL and is designed for high performance, capable of scaling to over 100 billion rows on a single server. TimescaleDB is optimized for rapid data ingestion and complex queries, making it suitable for advanced analytics and production use cases. Founded in 2011 and headquartered in New York City, Timescale has additional offices in Stockholm and Los Angeles. The company boasts a team of experts with extensive experience in building scalable systems, and it is supported by reputable investors in the technology sector.
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.
Ravel operates an online legal analytics and visualization platform that assists lawyers and law students in uncovering insights from legal data. Founded in 2012 and based in San Francisco, the company originated from Stanford University's Law School and Computer Science Department. Ravel provides a suite of tools including court, judge, and case analytics, along with interactive visualizations that help users understand and interpret complex legal information. The platform is designed to empower legal professionals by transforming the way they conduct research and prepare for litigation, enabling them to contextualize and analyze vast amounts of legal information effectively. Ravel serves a diverse clientele, including attorneys, law clerks, and legal research enthusiasts across the United States. As of 2017, Ravel operates as a subsidiary of LexisNexis Legal & Professional Inc.
Silk is a cloud-based application that enables users to visualize their data online by the way of interactive web pages. Users can also share these data sets; invite others to edit them; embed them in publishing platforms such as Tumblr and WordPress; include price comparison charts, interactive salary databases, and more; organize images and videos; build location-based maps; covert spreadsheet into Silk pages; build personalized web applications; and so on. Silk was founded by Lon Boonen and Salar al Khafaji and is based in Amsterdam and San Francisco. The company is venture-backed by Atomico Ventures and New Enterprise Associates.
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.
Silk is a cloud-based application that enables users to visualize their data online by the way of interactive web pages. Users can also share these data sets; invite others to edit them; embed them in publishing platforms such as Tumblr and WordPress; include price comparison charts, interactive salary databases, and more; organize images and videos; build location-based maps; covert spreadsheet into Silk pages; build personalized web applications; and so on. Silk was founded by Lon Boonen and Salar al Khafaji and is based in Amsterdam and San Francisco. The company is venture-backed by Atomico Ventures and New Enterprise Associates.
Ravel operates an online legal analytics and visualization platform that assists lawyers and law students in uncovering insights from legal data. Founded in 2012 and based in San Francisco, the company originated from Stanford University's Law School and Computer Science Department. Ravel provides a suite of tools including court, judge, and case analytics, along with interactive visualizations that help users understand and interpret complex legal information. The platform is designed to empower legal professionals by transforming the way they conduct research and prepare for litigation, enabling them to contextualize and analyze vast amounts of legal information effectively. Ravel serves a diverse clientele, including attorneys, law clerks, and legal research enthusiasts across the United States. As of 2017, Ravel operates as a subsidiary of LexisNexis Legal & Professional Inc.
A Milpitas, Calif.-based data storage management network, came out of stealth mode
Amplitude Software
Venture Round in 1997
Amplitude Software develops web-based calendaring and scheduling applications. Amplitude's web-based business solutions address resource sharing and calendaring demands across an enterprise.