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Capture data from Azure 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
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01. Move from Azure SQL Server02. Transform in-flight03. Select a destination

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 Estuary 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 Estuary 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.

How to connect Azure SQL Server to your destination in 3 easy steps

1
Connect Azure SQL Server as your data source
Securely connect Azure 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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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 Azure SQL Server using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

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

See where you can send Azure SQL Server data:

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High