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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
SQL Server 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 Flow 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
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
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 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 SQL Server insights always reflect the latest data by connecting your databases to SQL Server with change data capture.
- Or connect critical SaaS apps to SQL Server with real-time data pipelines.
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
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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