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

    Move your data from Azure SQL Server 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 free
    01. Move from Azure SQL Server02. Transform in-flight03. Select a destination
    Azure SQL Server logo
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    Azure SQL Server logo

    Azure SQL Server connector details

    The Microsoft SQL Server connector captures real-time change data (CDC) from your SQL Server database and streams it into Estuary collections, ensuring continuous synchronization across systems.

    • Continuous CDC ingestion: Streams inserts, updates, and deletes directly from SQL Server’s CDC change tables into Flow collections for real-time data pipelines.
    • Broad platform support: Works seamlessly across self-hosted, Azure SQL Database, Amazon RDS, and Google Cloud SQL instances.
    • Automatic schema and instance handling: Detects new capture instances when DDL changes occur (like added columns) and automatically transitions to updated change tables.
    • Granular permissions and automation: Supports automatic capture instance management and change table cleanup when granted db_owner privileges.
    • Flexible and secure connectivity: Connect via SSH tunneling or IP allowlisting for on-premise and cloud-hosted deployments.
    • Customizable configuration: Includes advanced tuning options for backfill chunk size, table skipping, and metadata tagging.

    💡 Tip: For optimal reliability, enable Automatic Capture Instance Management to let Flow handle table-level CDC setup and schema evolution automatically, while ensuring the user has the necessary db_owner privileges.

    For more details about the Azure SQL Server connector, check out the documentation page.

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

    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
    Detailed Comparison

    Deliver real-time and batch data from DBs, SaaS, APIs, and more

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