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    Stream into Amazon Aurora for MySQL with your free account

    Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon Aurora for MySQL using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

    • <100ms to batch
    • 200+ connectors
    • Managed data pipelines
    Try it freeWatch Demo
    01. Select a source02. Transform in-flight03. Deliver to Amazon Aurora for MySQL
    Amazon Aurora for MySQL logo
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    Amazon Aurora for MySQL logo

    Amazon Aurora for MySQL connector details

    The Amazon Aurora for MySQL materialization connector in Estuary delivers data from Estuary collections into tables in an Amazon Aurora MySQL-compatible database. It supports continuous materialization from real-time or batch pipelines, with standard merge-based updates by default and optional delta updates for applicable workloads.

    • Materializes Estuary collections directly into Amazon Aurora for MySQL tables
    • Standard merge-based updates by default to keep existing rows synchronized
    • Optional delta updates for workloads where changes should be applied incrementally rather than merged
    • Automatic table creation for tables managed by the connector
    • Secure direct connectivity or SSH tunneling for Aurora instances running inside AWS networks
    • Configurable SSL modes, including certificate and hostname verification
    • Automatic UTC handling for date-time fields, with configurable timezone behavior when needed
    • Support for custom SQL after table creation for additional table configuration

    To connect Estuary directly to Amazon Aurora for MySQL, configure the Aurora VPC security group to allow Estuary’s IP addresses, or use an SSH tunnel for private connectivity. The MySQL local_infile setting must also be enabled for the connector.

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

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

    1. 1

      Connect your data source

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

    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

      Sync to Amazon Aurora for MySQL

      Continuously or periodically deliver data into 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

    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. Bring data from databases, SaaS apps, APIs, files, and event streams into Amazon Aurora for MySQL, with capture and delivery cadence based on connector capabilities and pipeline configuration.

    • Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Amazon Aurora for MySQL through Estuary.
    • Transform and route data through Estuary collections before delivering it to Amazon Aurora for MySQL.

    See what you can connect to Amazon Aurora for MySQL:

    Details

    or choose from these popular data sources:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server via CDC logo
    SQL Server via CDC
    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$$$-$$$$$-$$$$$-$$$$
    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

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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.