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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
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
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
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.
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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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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