REAL-TIME ETL & CDC

Move your data from MySQL with your free account

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

Try it free Watch Demo

01. Move from MySQL02. Transform in-flight03. Select a destination

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 Flow 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

For more details about the MySQL connector, check out the documentation page.

How to connect MySQL to your destination in 3 easy steps

Connect MySQL as your data source

Securely connect MySQL and choose the objects, tables, or collections you need to sync.

Prepare and transform your data

Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

Sync to your destination

Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

Learn more

Dive deeper into MySQL with this quick video from our YouTube channel.

Ingesting Data into BigQuery: How to set up a Materialization in Estuary Flow
Estuary Flow 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.

Get Started Free

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 MySQL 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 MySQL insights always reflect the latest data by connecting your databases to MySQL with change data capture.
Or connect critical SaaS apps to MySQL with real-time data pipelines.

See how you can integrate MySQL with any destination:

Search for any source

Search for any destination

Details

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

Detailed Comparison

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

Build Free Pipeline Join Our Slack Community

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.

Move your data from MySQL with your free account

MySQL connector details

How to connect MySQL to your destination in 3 easy steps

Connect MySQL as your data source

Prepare and transform your data

Sync to your destination

Learn more

Ingesting Data into BigQuery: How to set up a Materialization in Estuary Flow

Trusted by data teams worldwide

Livble

Connect&GO

Glossier

Curri

HIGH THROUGHPUT

DURABLE REPLICATION

REAL-TIME INGESTION

Real-timehigh throughput

See how you can integrate MySQL with any destination:

or choose from these popular data sources:

Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

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

Popular sources/destinations you can sync your data with

Apache Iceberg

Databricks

MotherDuck

MySQL

Amazon Redshift

PostgreSQL

Snowflake

Elastic

Google Bigquery

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