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

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

    Continously ingest and deliver both streaming and batch change data from 150+ of sources using Estuary's custom no-code connectors.

    • <100ms Data pipelines
    • 200+ Connectors
    • 2-5x less than batch ELT
    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

    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

    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.

    4.7/5
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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 Google Cloud SQL for SQL Server in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.

    • Ensure your Google Cloud SQL for SQL Server insights always reflect the latest data by connecting your databases to Google Cloud SQL for SQL Server with change data capture.
    • Or connect critical SaaS apps to Google Cloud SQL for SQL Server with real-time data pipelines.

    See how you can integrate Google Cloud SQL for SQL Server 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
    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$$$-$$$$$-$$$$$-$$$$
    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.