

Move your data from Amazon Aurora for Postgres 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



Amazon Aurora for Postgres connector details
Estuary’s Amazon Aurora for PostgreSQL connector streams CDC events from your Aurora cluster into Flow collections using PostgreSQL logical replication. Once Aurora is configured with logical replication, a publication, and a replication slot, the connector captures inserts, updates, and deletes continuously with optional read-only mode for restricted environments.
- CDC via logical replication (enable cluster param rds.logical_replication=1)
- Uses publication + replication slot; manages a watermarks table for accurate backfills (or read-only mode with heartbeat requirement)
- Works with Aurora endpoints and supports IP allowlisting or SSH tunneling
- Guidance for WAL retention sizing to avoid slot invalidation during lag or downtime
How to connect Amazon Aurora for Postgres to your destination in 3 easy steps
Connect Amazon Aurora for Postgres as your data source
Securely connect Amazon Aurora for Postgres and choose the objects, tables, or collections you need to sync.
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
Sync to your destination
Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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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 Amazon Aurora for Postgres 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 Amazon Aurora for Postgres insights always reflect the latest data by connecting your databases to Amazon Aurora for Postgres with change data capture.
- Or connect critical SaaS apps to Amazon Aurora for Postgres 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 | ||||
| Maintenance Effort | Low | Medium | High | High |

Deliver real-time and batch data from DBs, SaaS, APIs, and more

Popular sources/destinations you can sync your data with
Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.
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