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

    Capture data from Google Cloud SQL for SQL Server 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 SQL Server02. Transform in-flight03. Select a destination
    Google Cloud SQL for SQL Server logo
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    Google Cloud SQL for SQL Server logo

    Google Cloud SQL for SQL Server connector details

    The Google Cloud SQL for SQL Server source connector captures inserts, updates, and deletes from Cloud SQL for SQL Server databases using SQL Server Change Data Capture. After an initial backfill of selected tables, Estuary reads from SQL Server CDC change tables and writes the data into Estuary collections so downstream systems stay current in near real time.

    • Capture change events from Google Cloud SQL for SQL Server databases that support SQL Server CDC.
    • Enable CDC on both the source database and each table you want to capture before running the connector.
    • Use tables with primary keys when possible; for tables without primary keys, manually define the Estuary collection key during capture setup.
    • Connect using the Cloud SQL instance public IP or an SSH tunnel, with SQL Server traffic on port 1433.
    • Grant the capture user SELECT access on the source schemas and cdc schema, access to CDC change tables, and VIEW DATABASE STATE or VIEW DATABASE PERFORMANCE STATE.
    • Optionally use Automatic Capture Instance Management or Automatic Change Table Cleanup, but these features require db_owner permissions.

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

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

    1. 1

      Connect Google Cloud SQL for SQL Server as your data source

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

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

    See where you can send Google Cloud SQL for SQL Server 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

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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.