Stream data from MySQL to ClickHouse Kafka API
Move data from MySQL to ClickHouse Kafka API in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 7+GB/secSingle dataflow
How to integrate MySQL with ClickHouse Kafka API in 3 simple steps
Connect MySQL as your data source
Set up a source connector for MySQL in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure ClickHouse Kafka API as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to ClickHouse Kafka API.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

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

ClickHouse Kafka API connector details
The ClickHouse Kafka API connector uses Estuary’s Dekaf compatibility layer to expose Estuary collections as Kafka-compatible topics that ClickHouse Cloud can ingest through ClickPipes. Instead of managing your own Kafka broker, you create a Dekaf materialization in Estuary and configure ClickPipes to read from Estuary using Kafka-compatible connection details. This is useful when your ClickHouse workflow depends on ClickPipes or when you want ClickHouse Cloud to manage the ingestion path.
- Materialize Estuary collections as Kafka-compatible topics that ClickHouse ClickPipes can consume.
- Use Dekaf when you want to ingest into ClickHouse Cloud through ClickPipes instead of writing directly with Estuary’s native ClickHouse connector.
- Connect ClickPipes using Estuary’s Dekaf broker address, schema registry address, SASL_SSL, and the PLAIN SASL mechanism.
- Use the full Dekaf materialization name as the Kafka and schema registry username.
- Use the Dekaf auth token as the Kafka and schema registry password.
- Map each Estuary collection binding to a Kafka-compatible topic for ClickHouse ingestion.
- Stream CDC updates from source systems into ClickHouse with low-latency, incremental delivery.
- Configure deletion behavior based on how you want ClickHouse to handle CDC-aware deletes and Kafka-style delete events.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

MySQL to ClickHouse Kafka API pricing estimate
Estimated monthly cost to move 800 GB from MySQL to ClickHouse Kafka API is approximately $1,000.
Data moved
Choose how much data you want to move from MySQL to ClickHouse Kafka API each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this MySQL to ClickHouse Kafka API integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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