Stream data from Azure SQL Server to MySQL
Sync your Azure SQL Server data with MySQL in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Azure SQL Server connector details
The Microsoft SQL Server connector captures real-time change data (CDC) from your SQL Server database and streams it into Estuary collections, ensuring continuous synchronization across systems.
- Continuous CDC ingestion: Streams inserts, updates, and deletes directly from SQL Server’s CDC change tables into Flow collections for real-time data pipelines.
- Broad platform support: Works seamlessly across self-hosted, Azure SQL Database, Amazon RDS, and Google Cloud SQL instances.
- Automatic schema and instance handling: Detects new capture instances when DDL changes occur (like added columns) and automatically transitions to updated change tables.
- Granular permissions and automation: Supports automatic capture instance management and change table cleanup when granted
db_owner
privileges. - Flexible and secure connectivity: Connect via SSH tunneling or IP allowlisting for on-premise and cloud-hosted deployments.
- Customizable configuration: Includes advanced tuning options for backfill chunk size, table skipping, and metadata tagging.
💡 Tip: For optimal reliability, enable Automatic Capture Instance Management to let Flow handle table-level CDC setup and schema evolution automatically, while ensuring the user has the necessary db_owner
privileges.

MySQL connector details
The Estuary MySQL connector materializes Flow collections into MySQL tables for downstream analytics or application use. It supports standard and delta update modes, ensuring efficient incremental writes. The connector works with both self-hosted and managed MySQL services like Amazon RDS, Google Cloud SQL, and Azure Database for MySQL, with optional SSH tunneling for secure connectivity.
- Writes Flow collections to MySQL tables in real time
- Supports standard and delta updates for optimized performance
- Compatible with RDS, Cloud SQL, and Azure Database for MySQL
- Handles date-time normalization and time zone alignment automatically
- Enables secure connections via SSL or SSH tunneling
How to integrate Azure SQL Server with MySQL in 3 simple steps using Estuary Flow
Connect Azure SQL Server as Your Real-Time Data Source
Set up a real-time source connector for Azure SQL Server in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure MySQL as Your Target
Choose MySQL as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Azure SQL Server connector.
- Enter Details: Add your Azure SQL Server connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Azure SQL Server capture, and publish.
What is Azure SQL Server?
How do I Transfer Data from Azure SQL Server?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.
