GreatPoint Ventures

Tembo is a developer of a scalable and secure platform that facilitates the building, deployment, and management of various data services and applications using Postgres databases. The company aims to make the extensive open-source Postgres ecosystem more accessible for common use cases, effectively productizing it. By doing so, Tembo reduces the reliance on specialized database management expertise, allowing clients to enhance the capabilities of their databases.

Datalogz is a platform focused on data discovery and understanding, designed to reduce data ambiguity from various sources. Its offerings include a data catalog, data lineage, data governance, and a data glossary, all aimed at enhancing the efficiency of data management. The platform enables data scientists and analysts to utilize AI-powered recommendations, which help improve project quality and streamline workflows. By providing these tools, Datalogz seeks to facilitate clearer data insights and support better decision-making in data-related projects.

Bit.io is a cloud database platform based in San Francisco, California, founded in 2019. It offers a zero-configuration, scalable solution that emphasizes ease of use and community engagement, similar to social coding platforms. Users can create an empty database with a single click, eliminating the need for complex administration, identity and access management, and firewall configurations. The platform allows clients to securely store, query, and share data, providing specific access levels for collaborators. Bit.io aims to simplify data sharing and management, making it accessible for users without technical expertise.

Splice Machine, Inc. is a data platform company based in San Francisco, California, that develops a hybrid relational database management system (RDBMS) designed to seamlessly integrate streaming, analytics, and transactions. This platform leverages Apache Hadoop and Apache Spark to execute both operational and analytical workloads, allowing for real-time updates and the development of scalable applications without the need for application rewrites. Splice Machine's RDBMS is particularly beneficial for industries requiring digital marketing, ETL acceleration, operational data lakes, and Internet of Things applications. Additionally, the company offers Livewire, an open-source operational AI platform aimed at enhancing industrial IoT use cases by providing alerts to plant operators regarding outages or performance issues. Founded in 2012, Splice Machine aims to disrupt the traditional database market by enabling clients to reduce latency, costs, and complexity associated with legacy systems.

Kinetica operates a cloud database platform designed to extract value from spatial and temporal data efficiently. The platform offers active analytics capabilities that simultaneously ingest, process, and analyze data from various unpredictable sources, allowing businesses to visualize and interpret location-based and time-sensitive information. By leveraging in-memory architecture and advanced parallel processing, Kinetica enables organizations to replace traditional and costly data warehouses, accelerating data analysis and uncovering patterns and opportunities within their data. This approach effectively supports businesses in harnessing their IoT data to drive better outcomes.

Kinetica operates a cloud database platform designed to extract value from spatial and temporal data efficiently. The platform offers active analytics capabilities that simultaneously ingest, process, and analyze data from various unpredictable sources, allowing businesses to visualize and interpret location-based and time-sensitive information. By leveraging in-memory architecture and advanced parallel processing, Kinetica enables organizations to replace traditional and costly data warehouses, accelerating data analysis and uncovering patterns and opportunities within their data. This approach effectively supports businesses in harnessing their IoT data to drive better outcomes.

Kinetica operates a cloud database platform designed to extract value from spatial and temporal data efficiently. The platform offers active analytics capabilities that simultaneously ingest, process, and analyze data from various unpredictable sources, allowing businesses to visualize and interpret location-based and time-sensitive information. By leveraging in-memory architecture and advanced parallel processing, Kinetica enables organizations to replace traditional and costly data warehouses, accelerating data analysis and uncovering patterns and opportunities within their data. This approach effectively supports businesses in harnessing their IoT data to drive better outcomes.