Move your data from Amazon Aurora for Postgres with your free account
Capture data from Amazon Aurora for Postgres and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Amazon Aurora for Postgres connector details
Estuary’s Amazon Aurora for PostgreSQL connector streams CDC events from your Aurora cluster into Estuary 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
See how Launchmetrics uses Amazon Aurora for Postgres
How to connect Amazon Aurora for Postgres to your destination in 3 easy steps
- 1
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.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
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 scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Amazon Aurora for Postgres using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Amazon Aurora for Postgres to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Amazon Aurora for Postgres data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Amazon Aurora for Postgres data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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