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- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



PostgreSQL connector details
Built for real-time data integration, the Estuary PostgreSQL connector streams inserts, updates, and deletes from PostgreSQL databases using Change Data Capture (CDC) via logical replication. It reads directly from the write-ahead log (WAL) to deliver low-latency, exactly-once data movement into Flow collections. The connector supports self-hosted, RDS, Aurora, Cloud SQL, Azure Database for PostgreSQL, and Supabase, with secure connectivity options such as SSH tunneling and SSL.
- Continuous CDC streaming through PostgreSQL logical replication
- Works with managed and on-prem PostgreSQL instances
- Supports backfill and read-only captures
- Automatically manages replication slots and publications
- Secure setup via SSH or SSL


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from PostgreSQL in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your PostgreSQL insights always reflect the latest data by connecting your databases to PostgreSQL with change data capture.
- Or connect critical SaaS apps to PostgreSQL with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
---|---|---|---|---|
Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
Speed | <100ms | 5min+ | Varies | <100ms |
Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
Scale |

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