Estuary

Move your data from Amazon RDS for PostgreSQL with your free account

Capture data from Amazon RDS for PostgreSQL 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
01. Move from Amazon RDS for PostgreSQL02. Transform in-flight03. Select a destination
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Amazon RDS for PostgreSQL logo

Amazon RDS for PostgreSQL connector details

With Estuary’s Amazon RDS for PostgreSQL connector, you can capture every database change as it happens using Change Data Capture (CDC) powered by PostgreSQL’s logical replication. The connector continuously streams inserts, updates, and deletes from your RDS instance into Estuary collections, keeping downstream systems synchronized in real time without manual intervention.

  • Real-time CDC replication built on PostgreSQL logical decoding
  • Handles initial backfill and ongoing incremental updates automatically
  • Supports read-only captures and replica-based streaming for better performance
  • Intelligent WAL management to ensure reliability and avoid retention issues
  • Enterprise-ready security with SSH tunneling, VPC isolation, and BYOC or private deployments for full data control
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See how Envoy uses Amazon RDS for PostgreSQL

For more details about the Amazon RDS for PostgreSQL connector, check out the documentation page.

How to connect Amazon RDS for PostgreSQL to your destination in 3 easy steps

  1. 1

    Connect Amazon RDS for PostgreSQL as your data source

    Securely connect Amazon RDS for PostgreSQL and choose the objects, tables, or collections you need to sync.

  2. 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. 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.

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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.

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 RDS for PostgreSQL using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

  • Connect Amazon RDS for PostgreSQL to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
  • Capture once and reuse Amazon RDS for PostgreSQL data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send Amazon RDS for PostgreSQL data:

Details

or choose from these popular destinations:

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PostgreSQL
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MySQL
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SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Latency<100ms to scheduled5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh

One platform for real-time and batch data pipelines

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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.