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Clickhouse Integration

ClickHouse is an open-source, column-oriented database management system mainly used for online analytical processing (OLAP). It is fast, and allows for real-time analysis of your data. ClickHouse was originally developed by Yandex, the Russian IT company, for the Yandex Metrica web analytics service. ClickHouse is highly scalable, and built for high performance.

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Clickhouse Integration

ClickHouse is an open-source, column-oriented database management system mainly used for online analytical processing (OLAP). It is fast, and allows for real-time analysis of your data. ClickHouse was originally developed by Yandex, the Russian IT company, for the Yandex Metrica web analytics service. ClickHouse is highly scalable, and built for high performance.

DestinationEvent Stream
Frequently Asked Questions

Clickhouse is a data warehouse that enables developers to send data from their Data Warehouse.

Difficulty can vary based on your data structure, data cleanliness and required destinations. Many users choose to simplify implementation by sending warehouse data through secure data warehouse integration tools like RudderStack.

Pricing for Clickhouse can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

More than 35 companies currently use ClickHouse as a part of their tech stack. Some of the prominent ones among these are AppsFlyer, bigin, Postclick, and useinsider.

The developers at Yandex designed ClickHouse to be fast and have a very good query execution performance. ClickHouse uses all the available hardware to its maximum potential, with peak processing performance for a single query standing at 2 TB/second. In a distributed setup, the reads are balanced automatically among the healthy replicas so as to reduce the overall latency.

Column stores are relational databases that store data by columns rather than rows. A traditional database is usually row-based, where the attributes of one instance are stored together in a row, followed by the attributes of the next row. However, in a column-oriented database, one logical file per attribute is used. This structure makes it possible to read and pull out only the columns you need for a query, without accessing the unrelated or redundant data.

RudderStack Clickhouse Documentation

Refer to our step-by-step guide and start using the Clickhouse integration today

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