Estuary

Move your data from SQL Server via CDC with your free account

Capture data from SQL Server via CDC 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
01. Move from SQL Server via CDC02. Transform in-flight03. Select a destination
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SQL Server via CDC logo

SQL Server via CDC connector details

Built for reliable enterprise data replication, the Estuary SQL Server connector uses Change Data Capture (CDC) to stream inserts, updates, and deletes from SQL Server databases into Estuary collections in real time. It supports self-hosted, Azure SQL Database, Amazon RDS, and Google Cloud SQL environments, automatically handling schema evolution and capture-instance management. With secure connectivity via SSH tunneling or IP allowlisting, it delivers consistency, fault tolerance, and low-latency change streaming across any deployment.

  • Continuous CDC replication from SQL Server tables
  • Supports managed and self-hosted environments
  • Automatic CDC instance management for schema changes
  • Real-time event streaming and backfill support
  • Secure access with SSH or firewall allowlisting
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See how Coltene uses SQL Server via CDC

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

How to connect SQL Server via CDC to your destination in 3 easy steps

  1. 1

    Connect SQL Server via CDC as your data source

    Securely connect SQL Server via CDC 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.

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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.

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

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

See where you can send SQL Server via CDC 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.