Stream data from Amazon Aurora for Postgres to Amazon S3 Iceberg (delta updates)
Sync your Amazon Aurora for Postgres data with Amazon S3 Iceberg (delta updates) in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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

Amazon S3 Iceberg (delta updates) connector details
This connector materializes Flow collections into Apache Iceberg tables stored in Amazon S3. It batches delta updates inside Flow, converts them to Parquet files, and appends them to Iceberg tables on a schedule you configure, making it efficient for near real-time CDC-style updates.
- Materializes Flow collections into Iceberg tables on Amazon S3
- Designed for delta updates, enabling low-latency CDC replication
- Compatible with AWS Glue or Iceberg REST Catalogs for metadata management
- Configurable upload intervals to balance freshness and cost
- Supports Iceberg V2 column types for flexible schema handling
How to integrate Amazon Aurora for Postgres with Amazon S3 Iceberg (delta updates) in 3 simple steps using Estuary Flow
Connect Amazon Aurora for Postgres as Your Real-Time Data Source
Set up a real-time source connector for Amazon Aurora for Postgres in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon S3 Iceberg (delta updates) as Your Target
Choose Amazon S3 Iceberg (delta updates) as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Amazon Aurora for Postgres connector.
- Enter Details: Add your Amazon Aurora for Postgres connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Amazon Aurora for Postgres capture, and publish.
What is Amazon Aurora for Postgres?
How do I Transfer Data from Amazon Aurora for Postgres?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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