PeerDB

PeerDB launched with a focused MVP targeting a single use case: streaming data from Postgres to Snowflake using log-based CDC. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌This narrow scope let them ship in weeks rather than months, validating core performance claims before expanding. They deliberately omitted support for multiple destination warehouses, transformation logic, and UI polish—betting that raw speed would resonate with data engineers managing high-volume Postgres instances. This constraint-driven approach proved prescient. Early adopters immediately validated the 10x performance advantage over Fivetran and Stitch, generating organic word-of-mouth within data communities. The speed advantage became their strongest signal—customers reported cutting data pipeline costs by 60-70% within weeks of deployment. By staying laser-focused on the Postgres-to-warehouse problem rather than building a general ETL platform, PeerDB built credibility through measurable performance rather than feature breadth. This execution discipline attracted venture funding and enabled rapid iteration toward supporting additional destinations and streaming modes.