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REAL-TIME ETL & CDC

Stream into ClickHouse 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
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01. Select a source02. Transform in-flight03. Deliver to ClickHouse
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ClickHouse connector details

The ClickHouse materialization connector publishes Flow collections as Kafka-compatible messages that integrate seamlessly with ClickPipes. With Estuary Flow, you can deliver low-latency data streams into ClickHouse, a high-performance analytical database built for real-time insights.

  • Streams Flow collections directly into ClickHouse via ClickPipes
  • Publishes data in a Kafka-compatible format for easy ingestion
  • Supports CDC-aware deletion handling alongside standard Kafka deletes
  • Secure authentication using SASL and schema registry integration

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

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

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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
Detailed Comparison

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

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