

REAL-TIME ETL & CDC
Move your data from SQL Server 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 Server02. Transform in-flight03. Select a destination


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

See how LOVESPACE uses SQL Server
How to connect SQL Server to your destination in 3 easy steps
1
Connect SQL Server as your data source
Securely connect 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
Sync to your destination
Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.
- Read success story
LOVESPACE
LOVESPACE Accelerates Real-Time Operations and AI with Estuary
- Read success story
Glossier
Glossier Runs Real-Time Supply Chain and Marketing Analytics with Estuary
- Read success story
Curri
How Curri Cut Data Sync Costs by 50% and Achieved Real-Time Analytics with Estuary
- Read success story
Xometry
Xometry Saves 60% on Data Integration with a Secure Estuary Private Deployment


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 200+ 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.
See how you can integrate SQL Server with any destination:
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
| 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 | ||||
| Maintenance Effort | Low | Medium | High | High |

Deliver real-time and batch data from DBs, SaaS, APIs, and more


Apache Iceberg

Databricks

MotherDuck

MySQL

Amazon Redshift

PostgreSQL

Snowflake

Elastic

Google Bigquery

Bauplan

Google Spanner

SingleStore

Supabase

Azure Blob Storage Parquet

RisingWave

Materialize

Imply Polaris

ClickHouse

Bytewax

SingleStore Dekaf

StarTree

CrateDB (Beta)

Tinybird

Azure Fabric Warehouse

Dekaf

Apache Kafka

Amazon S3 Iceberg (delta updates)

Google Cloud Storage CSV

Google GCS Parquet

Amazon S3 CSV

Starburst Galaxy (Beta)

Amazon RDS for PostgreSQL

Amazon RDS for MariaDB

Amazon RDS for SQL Server

Amazon RDS for MySQL

Google Cloud SQL for SQL Server

Google Cloud SQL for PostgreSQL

Google Cloud SQL for MySQL

Oracle MySQL Heatwave

Amazon Aurora for MySQL

MariaDB

Amazon DynamoDB

SQL Server

HTTP Webhook

Pinecone

Slack

Azure Cosmos DB

Amazon Aurora for Postgres

SQLite

MongoDB

Alloy DB for Postgres

Timescale

Google PubSub

Google Sheets

Firebolt

Amazon S3 Parquet












































