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    Move your data from Google Cloud SQL for MySQL with your free account

    Capture data from Google Cloud SQL for MySQL 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 Google Cloud SQL for MySQL02. Transform in-flight03. Select a destination
    Google Cloud SQL for MySQL logo
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    Google Cloud SQL for MySQL logo

    Google Cloud SQL for MySQL connector details

    The Google Cloud SQL for MySQL capture connector in Estuary uses MySQL’s binary log (binlog) to capture database changes through Change Data Capture (CDC). By default, it first backfills the current contents of your selected tables, then continuously captures new changes from the binlog to keep downstream data up to date.

    • Binary log-based CDC for continuously capturing changes from Google Cloud SQL for MySQL
    • Initial table backfills followed by ongoing change capture, with the option to skip backfills for selected tables
    • Automatic table discovery across databases and schemas the connector is authorized to access
    • Automatic handling of most schema changes, including adding, dropping, renaming, and changing column types
    • Read replica support when binary logging and the required replication settings are enabled
    • Password or Google Cloud IAM authentication, with IAM connections using TLS

    The connector requires row-based binary logging (binlog_format=ROW) and sufficient binlog retention to ensure changes remain available during interruptions or recovery.

    For more details about the Google Cloud SQL for MySQL connector, check out the documentation page.

    How to connect Google Cloud SQL for MySQL to your destination in 3 easy steps

    1. 1

      Connect Google Cloud SQL for MySQL as your data source

      Securely connect Google Cloud SQL for MySQL 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 Google Cloud SQL for MySQL using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

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

    See where you can send Google Cloud SQL for MySQL 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

    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.