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  • Deploy CDC and Streaming ETL in Minutes Using Estuary
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    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
    Try it freeWatch Demo
    01. Move from Amazon Aurora for Postgres02. Transform in-flight03. Select a destination
    Amazon Aurora for Postgres logo
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    Amazon Aurora for Postgres logo

    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
    Launchmetrics logo

    See how Launchmetrics uses Amazon Aurora for Postgres

    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. 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. 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.

    Get Started Free

    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.

    4.8/5

    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:

    Details

    or choose from these popular destinations:

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

    Detailed Comparison

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

    Build Free PipelineJoin Our Slack Community
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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.