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.)

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Moving over to ClickHouse we were basically able to cut that (Redshift) bill in half.

"Moving over to ClickHouse we were basically able to cut that (Redshift) bill in half."

Brooke McKim
Co-founder and CTO, Vantage

There is that feeling of new tech where everything just feels like it's going right.

"There is that feeling of new tech where everything just feels like it's going right."

Harlow Ward
Co-founder and CTO, Clearbit

We wanted something not only just simple to use, but also simple to manage.

"We wanted something not only just simple to use, but also simple to manage."

Jason Wang
Software Engineer, Statsig

ClickHouse has been great for us. It has solved all the use cases we have thrown at it

"ClickHouse has been great for us. It has solved all the use cases we have thrown at it"

Ritesh Varyani
Senior Software Engineer, Lyft

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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.
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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.