
Stream into ClickHouse Kafka API with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into ClickHouse Kafka API 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



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.
How to connect your data source to ClickHouse Kafka API 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 ClickHouse Kafka API
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
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 ClickHouse Kafka API, 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 ClickHouse Kafka API through Estuary.
- Transform and route data through Estuary collections before delivering it to ClickHouse Kafka API.
See what you can connect to ClickHouse Kafka API:
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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 |
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