Also known as: PeerDB Inc
Fast, native ETL for Postgres 🐘 🚀
Company was acquired
Event Year: 2023
Company was acquired
Event Year: 2023
PeerDB provided a streamlined and highly efficient solution for extracting, transforming, and loading (ETL) data from PostgreSQL databases. Their core offering focused on enabling businesses to seamlessly stream data from Postgres to various data warehouses, message queues, and storage engines. This was particularly valuable for organizations relying on Postgres as a central component of their data infrastructure and requiring scalable data movement capabilities. PeerDB supported multiple streaming methodologies, including Change Data Capture (CDC) based on transaction logs, cursor-based streaming using timestamps or integers, and XMIN-based replication. The platform was engineered for performance, claiming speeds up to ten times faster than existing ETL tools. Furthermore, PeerDB offered comprehensive support for native Postgres features, such as complex data types (including JSONB, arrays, and PostGIS), efficient handling of TOAST columns, and seamless adaptation to schema changes.
PeerDB provided a streamlined and highly efficient solution for extracting, transforming, and loading (ETL) data from PostgreSQL databases. Their core offering focused on enabling businesses to seamlessly stream data from Postgres to various data warehouses, message queues, and storage engines. This was particularly valuable for organizations relying on Postgres as a central component of their data infrastructure and requiring scalable data movement capabilities. PeerDB supported multiple streaming methodologies, including Change Data Capture (CDC) based on transaction logs, cursor-based streaming using timestamps or integers, and XMIN-based replication. The platform was engineered for performance, claiming speeds up to ten times faster than existing ETL tools. Furthermore, PeerDB offered comprehensive support for native Postgres features, such as complex data types (including JSONB, arrays, and PostGIS), efficient handling of TOAST columns, and seamless adaptation to schema changes.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2023
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2023
B2B
B2B
B2B -> Analytics
B2B -> Analytics
Team size: 2
Hiring: No
Team size: 2
Hiring: No