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REAL-TIME ETL & CDC

Move your data from MySQL Batch 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
01. Move from MySQL Batch02. Transform in-flight03. Select a destination
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MySQL Batch connector details

The MySQL Batch Query connector captures data from MySQL by periodically executing SQL queries and translating the results into Flow collections. It’s useful for datasets that can’t leverage change data capture (CDC), such as managed instances without logical replication or custom SQL views.

  • Periodically runs batch queries to extract data from MySQL tables or views
  • Ideal for managed MySQL databases or ad-hoc query results that lack CDC support
  • Supports cursor-based polling using timestamps or incremental IDs to detect new or updated rows
  • Designed for low-frequency syncs, with a default polling interval of 24 hours to minimize source load
  • Deployment-ready: Works across Estuary’s Private Deployment and BYOC setups, maintaining secure credential management and compliance

💡 Tip: If you need real-time, low-latency data capture with inserts, updates, and deletes, use Estuary’s MySQL CDC connector instead. It provides higher accuracy and efficiency with minimal impact on your source database.

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

How to connect MySQL Batch to your destination in 3 easy steps

1

Connect MySQL Batch as your data source

Securely connect MySQL Batch 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.

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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 enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from MySQL Batch 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 Batch insights always reflect the latest data by connecting your databases to MySQL Batch with change data capture.
  • Or connect critical SaaS apps to MySQL Batch with real-time data pipelines.

See how you can integrate MySQL Batch with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
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Apache Kafka
Google Bigquery logo
Google Bigquery
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Snowflake

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

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

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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.