Query billions of rows in milliseconds

ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.

SELECT toStartOfMonth(upload_date) AS month, sum(view_count) AS `Youtube Views`, bar(sum(has_subtitles) / count(), 0.55, 0.7, 100) AS `% Subtitles` FROM youtube WHERE (month >= '2020-08-01') AND (month <= '2021-08-01') GROUP BY month ORDER BY month ASC

13 rows in set. Elapsed: 0.823 sec Processed 1.07 billion rows, 11.75 GB (1.30 billion rows/s., 14.27 GB/s.)

Trusted by developers that work with data at scale

Don't take our word for it. Read our user stories

Speed up queries from any data source

ClickHouse supports all the data sources you need to power your apps and use cases that require exceptional performance.

Why is ClickHouse so fast?

Column-oriented databases are better suited to OLAP scenarios. They are at least 100x faster in processing most queries. ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible.

Row-oriented databases

In row-oriented databases, data is stored in rows, with all the values related to a row physically stored next to each other.