Move your data from MySQL Batch with your free account

Capture data from MySQL Batch 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
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01. Move from MySQL Batch02. Transform in-flight03. Select a destination

MySQL Batch connector details

The MySQL Batch Query connector captures data from MySQL by periodically executing SQL queries and translating the results into Estuary 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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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. Capture data from MySQL Batch using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

Connect MySQL Batch to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
Capture once and reuse MySQL Batch data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send MySQL Batch data:

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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