TigerBeetle is a developer of a specialized financial accounting database that is engineered to manage high-volume financial transactions efficiently. The platform is designed to enhance Online Transaction Processing (OLTP), enabling businesses to track transactions at scale within and between systems. By innovating the distributed database storage engine and consensus protocol, TigerBeetle ensures critical safety and performance in financial operations. Its architecture allows for the enforcement of accounting policies by moving the code closer to the data, facilitating the transfer of large amounts between accounts in a single query. This design positions TigerBeetle as a vital solution for organizations operating in the fast-evolving landscape of digital payments.
Allium provides on-chain data infrastructure products ranging from managed blockchain databases to real-time alerting capabilities. The company was founded in 2021 and has offices based in New York, San Francisco and Singapore.
At Prisma we are building the data layer for modern applications: By auto-generating a flexible, fast and scalable GraphQL data access layer, Prisma fulfills the promise of GraphQL as a universal query language, enabling you to access all of your databases in a single GraphQL query. Prisma was founded in 2016 and has offices in Berlin and San Francisco.
Developer of a database acceleration technology designed to help developers build performant and real-time applications. The company's technology offers latencies of an optimized custom caching system, query throughput of reading replicas and direct development experience using a single relational database, enabling developers to scale out the database by reading horizontally without making code changes or switching databases.
Dagster Labs develops an open-source Python library known as Dagster, which serves as a data orchestration platform for building modern data applications. The platform facilitates collaboration among infrastructure engineers, data engineers, and data scientists, enabling them to efficiently process and produce trusted data. Dagster offers a user-friendly programming model for constructing data pipelines and workflows, designed to integrate smoothly with existing tools and systems. Its incrementally-adoptable architecture allows clients to leverage their current infrastructure while enhancing their data management capabilities.
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.
Meroxa is a data streaming platform established in 2019 by co-founders DeVaris Brown and Ali Hamidi. The company focuses on creating a real-time data infrastructure that automates processes such as change data capture, monitoring, and data loading. Meroxa's platform securely connects cloud-deployed databases to its servers, utilizing a machine learning-powered rules engine to automate repetitive tasks while ensuring data security and optimization for performance. This enables developers to efficiently build and operate stream-processing applications that react to real-time data and events.
Developer of a database acceleration technology designed to help developers build performant and real-time applications. The company's technology offers latencies of an optimized custom caching system, query throughput of reading replicas and direct development experience using a single relational database, enabling developers to scale out the database by reading horizontally without making code changes or switching databases.
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.
At Prisma we are building the data layer for modern applications: By auto-generating a flexible, fast and scalable GraphQL data access layer, Prisma fulfills the promise of GraphQL as a universal query language, enabling you to access all of your databases in a single GraphQL query. Prisma was founded in 2016 and has offices in Berlin and San Francisco.
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.
WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.
WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.
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