Move your data from Amazon RDS for SQL Server with your free account

Capture data from Amazon RDS 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

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01. Move from Amazon RDS for SQL Server02. Transform in-flight03. Select a destination

Amazon RDS for SQL Server connector details

Estuary’s Amazon RDS for SQL Server connector provides continuous Change Data Capture (CDC) from your SQL Server database into Estuary collections, enabling real-time synchronization of inserts, updates, and deletes without batch processes. Built to leverage SQL Server’s native CDC capabilities, this connector ensures reliable and low-latency data replication for modern analytics and integration use cases.

Streams change events in real time using SQL Server’s built-in CDC framework
Automatically detects schema changes and manages new capture instances seamlessly
Supports Automatic Capture Instance Management and Automatic Change Table Cleanup for minimal maintenance
Handles backfills and incremental updates to ensure complete data consistency
Offers enterprise-grade connectivity and security, including SSH tunneling, VPC access control, and support for BYOC or private deployments with Estuary

For more details about the Amazon RDS for SQL Server connector, check out the documentation page.

How to connect Amazon RDS for SQL Server to your destination in 3 easy steps

1
Connect Amazon RDS for SQL Server as your data source
Securely connect Amazon RDS 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
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 Amazon RDS for SQL Server using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

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

See where you can send Amazon RDS for SQL Server data:

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Details

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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