
Move your data from MySQL with your free account
Capture data from MySQL 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



MySQL connector details
Designed for high-throughput data pipelines, the Estuary MySQL connector captures every insert, update, and delete in real time using Change Data Capture (CDC). It reads from MySQL binary logs to ensure low-latency streaming and exactly-once delivery into Estuary collections. The connector works across self-hosted, RDS, Aurora, Cloud SQL, and Azure Database for MySQL environments with secure options like SSH tunneling and SSL.
- Continuous CDC streaming from MySQL binlogs
- Works with managed and on-prem MySQL instances
- Supports backfill for complete initial syncs
- Handles time zones and schema discovery automatically
- Secure connections via SSH or SSL

See how Livble uses MySQL
How to connect MySQL to your destination in 3 easy steps
- 1
Connect MySQL as your data source
Securely connect MySQL 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Learn more with some related videos
Dive deeper into MySQL with tutorials and walkthroughs from our YouTube channel.
![Introducing Estuary Agent Skills: Build Data Pipelines with AI video thumbnail]()
Introducing Estuary Agent Skills: Build Data Pipelines with AI
Estuary Agent Skills give your AI coding assistant the Estuary-specific context it needs to build and operate real-time data pipelines. Ask in plain English, capture my Postgres database into Snowflake, load these collections into BigQuery, or why is this connector failing, and your assistant knows the workflow.
![Ingesting Data into BigQuery: How to set up a Materialization in Estuary video thumbnail]()
Ingesting Data into BigQuery: How to set up a Materialization in Estuary
Estuary is a real-time data integration platform that allows you to connect Cloud SQL to BigQuery and other data sources. Estuary is streaming native and has an intuitive no-code UI that’s quick to use once your data systems meet the prerequisites. Like Dataflow, it's also highly scaleable and hands-off once the initial setup is done.
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.
Read success storyLivble
Livble Achieved Real-Time Operational Excellence and 50% Lower Costs with Estuary
Read success storyConnect&GO
Connect&GO lowers MySQL to Snowflake latency up to 180x, improves productivity 4x with Estuary
Read success storyTogether AI
How Together AI Uses Near-Real-Time Data to Understand Inference Economics
Read success storyEnvoy
Right-Time Visibility for a High-Velocity Business: Envoy’s Estuary Story

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 MySQL using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect MySQL to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse MySQL data across transformations and multiple downstream destinations without rebuilding source extraction.
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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines

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

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.
![Apache Iceberg Logo]()
Apache Iceberg
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Databricks
![MotherDuck Logo]()
MotherDuck
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MySQL
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Amazon Redshift
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Google Bigquery
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HubSpot
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Dremio
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AWS OpenSearch
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Amazon EventBridge
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Amazon SNS
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Google Bigtable
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ClickHouse
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Google Spanner
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Imply Polaris
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Bytewax
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SingleStore Dekaf
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StarTree
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Tinybird
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Azure Fabric Warehouse
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Dekaf
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Apache Kafka
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Amazon S3 Iceberg (delta updates)
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Google Cloud Storage CSV
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Google GCS Parquet
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Amazon S3 CSV
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Amazon RDS for PostgreSQL
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Amazon RDS for SQL Server
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Amazon RDS for MariaDB
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Amazon RDS for MySQL
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Google Cloud SQL for SQL Server
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Google Cloud SQL for PostgreSQL
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Google Cloud SQL for MySQL
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Oracle MySQL Heatwave
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Amazon Aurora for MySQL
![MariaDB Logo]()
MariaDB
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Amazon DynamoDB
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SQL Server
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HTTP Webhook
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Pinecone
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Slack
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Azure Cosmos DB
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Amazon Aurora for Postgres
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SQLite
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MongoDB
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Alloy DB for Postgres
![Timescale Logo]()
Timescale
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Google PubSub
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Google Sheets
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Amazon S3 Parquet





























































