Home Original page

Move SQL Server via Change Tracking to Any Destination, Real-time ETL & CDC

icon

REAL-TIME ETL & CDC

Move your data from SQL Server via Change Tracking 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

01. Move from SQL Server via Change Tracking02. Transform in-flight03. Select a destination

SQL Server via Change Tracking logo
take a tour

The SQL Server Change Tracking connector continuously captures updates from Microsoft SQL Server tables into Estuary collections using native Change Tracking. It delivers real-time replication with lower source database overhead by tracking primary key changes rather than full row logs. This option is ideal when all tables have primary keys and when computed columns need to be captured, which traditional CDC cannot support.

  • Uses SQL Server Change Tracking for real-time change capture
  • Lower storage overhead compared to log-based CDC
  • Supports computed columns and computed primary keys
  • Requires primary keys and CT enabled at database and table levels
  • Configurable retention period to prevent re-sync gaps
  • Works across self-hosted SQL Server, Azure SQL, Amazon RDS, and Google Cloud SQL

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

1

Connect SQL Server via Change Tracking as your data source

Securely connect SQL Server via Change Tracking 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.

Get Started Free

icon-2

HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

icon-3

DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

icon-1

REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from SQL Server via Change Tracking 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 SQL Server via Change Tracking insights always reflect the latest data by connecting your databases to SQL Server via Change Tracking with change data capture.
  • Or connect critical SaaS apps to SQL Server via Change Tracking with real-time data pipelines.

See how you can integrate SQL Server via Change Tracking with any destination:

Details

or choose from these popular data sources:

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

Connection-1