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    REAL-TIME ETL & CDC

    Move your data from Amazon Aurora for MySQL 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. Move from Amazon Aurora for MySQL02. Transform in-flight03. Select a destination
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    Amazon Aurora for MySQL logo

    Amazon Aurora for MySQL connector details

    Optimized for cloud-native databases, the Estuary MySQL connector for Amazon Aurora streams real-time change data using Change Data Capture (CDC) via the binary log. Once configured with the proper Aurora parameter group and permissions, it captures inserts, updates, and deletes from your Aurora MySQL cluster directly into Flow collections. With support for secure SSH tunneling, read replicas, and automatic backfill, it ensures reliable, low-latency synchronization from Aurora to downstream systems.

    • Continuous CDC streaming from Amazon Aurora MySQL
    • Requires binlog_format=ROW and 7-day retention for reliability
    • Compatible with Aurora read replicas
    • Supports secure access via SSH tunneling or IP allowlisting
    • Simplifies real-time ingestion to any connected destination

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

    How to connect Amazon Aurora for MySQL to your destination in 3 easy steps

    1

    Connect Amazon Aurora for MySQL as your data source

    Securely connect Amazon Aurora for MySQL 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.

    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 from Amazon Aurora for MySQL 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 MySQL insights always reflect the latest data by connecting your databases to Amazon Aurora for MySQL with change data capture.
    • Or connect critical SaaS apps to Amazon Aurora for MySQL with real-time data pipelines.

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

    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
    Google Bigquery logo
    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.