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  • Estuary Flow Product demo
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  • Deploy CDC and Streaming ETL in Minutes Using Estuary Flow
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    REAL-TIME ETL & CDC

    Stream into 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
    Try it freeWatch Demo
    01. Select a source02. Transform in-flight03. Deliver to Amazon Aurora for Postgres
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    Amazon Aurora for Postgres logo

    Amazon Aurora for Postgres connector details

    The Amazon Aurora for Postgres materialization connector in Estuary Flow delivers data from your pipelines directly into your destination system — continuously and in real time. Using merge-based writes, Flow efficiently updates only changed records, ensuring your destination stays perfectly in sync without unnecessary reprocessing. Whether for analytics, AI, or operational use cases, Estuary Flow provides a reliable, cost-efficient way to keep Amazon Aurora for Postgres up to date.
    • Log-based CDC for high-performance, low-impact data capture
    • Automatic schema evolution to handle changes in source structure without manual intervention
    • Unified streaming and batch ingestion in the same pipeline
    • Hybrid deployment and BYOC support for security and control
    • Fault-tolerant pipelines that resume automatically from the last checkpoint
    • Kafka API connectivity for direct integration into streaming ecosystems

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

    How to connect your data source to Amazon Aurora for Postgres in 3 easy steps

    1

    Connect your data source

    Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

    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 Amazon Aurora for Postgres

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

    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
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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 to 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 any source with Amazon Aurora for Postgres:

    Details

    or choose from these popular data sources:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server logo
    SQL Server
    MongoDB logo
    MongoDB
    Apache Kafka logo
    Apache Kafka
    BigQuery logo
    BigQuery
    Snowflake Data Cloud logo
    Snowflake Data Cloud

    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.