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REAL-TIME ETL & CDC

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
01. Move from Amazon Aurora for Postgres02. Transform in-flight03. Select a destination
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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

For more details about the Amazon Aurora for Postgres connector, check out the documentation page.

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

Sync to your destination

Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

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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.

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DURABLE REPLICATION

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

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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.

See how you can integrate Amazon Aurora for Postgres with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
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MySQL
SQL Server logo
SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

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

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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.