Stream into PostgreSQL with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
PostgreSQL connector details
Optimized for analytical and transactional workloads, the Estuary PostgreSQL connector materializes Flow collections into tables within PostgreSQL databases in real time. It creates and manages tables automatically, ensuring low-latency writes and schema consistency. The connector supports self-hosted, RDS, Aurora, Cloud SQL, Azure Database for PostgreSQL, and Supabase, with secure connectivity through SSL or SSH tunneling.
- Real-time data materialization into PostgreSQL tables
- Works with managed and on-prem PostgreSQL environments
- Supports delta updates and schema management
- Automatically handles table creation and reserved words
- Secure connections via SSL and SSH
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 to 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 |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
Build Free Pipeline
