Stream into MySQL with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into MySQL using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
MySQL connector details
The Estuary MySQL connector materializes data 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 data 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 connect your data source to MySQL in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 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 MySQL
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Learn more with some related videos
Dive deeper into MySQL with tutorials and walkthroughs from our YouTube channel.
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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.
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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.
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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. Bring data from databases, SaaS apps, APIs, files, and event streams into MySQL, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to MySQL through Estuary.
- Transform and route data through Estuary collections before delivering it to MySQL.
See what you can connect to MySQL:
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
