CVE-2022-44011: Fast Open-Source OLAP DBMS - ClickHouse

Query billions of rows in milliseconds

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

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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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scale

Don’t take our word for it.

Read our user stories

“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.”

Harlow Ward
Co-founder and CTO, Clearbit

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

Jason Wang
Software Engineer, Statsig

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.

Databases and data warehouses Streams, logs, and analytics Data lake formats Local files Data visualization tools Languages and drivers

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.

Column-oriented databases

In column-oriented databases, like ClickHouse, data is stored in columns, with values from the same columns stored together.

Deploy your way

Unlike traditional closed-source OLAP databases, ClickHouse runs on every environment, whether it’s on your machine or in the cloud.

ClickHouse Local

Run fast queries on local files (CSV, TSV, Parquet, and more) without a server.

Open-source ClickHouse

Spin up a database server with open-source ClickHouse. Always Free.

ClickHouse Cloud

Deploy a fully managed ClickHouse service on AWS or GCP.

Join the 100k+ developers using ClickHouse today

What do developers say?

ClickHouse is the most commonly used database for internal and commercial observability platforms. Disney+ uses ClickHouse to provide analytics for its content distribution system.

“We were really not doing well with ingesting all the logs that we have because it’s big data, it’s all the users of Disney+ generating that data. Ever since we chose ClickHouse, it’s been going well.”

Roni Lazimi

Software Engineer, Disney+

Uber’s log analytics platform

Learn why Uber migrated to ClickHouse from the ELK stack.

Cloudflare’s HTTP analytics infrastructure

Read about how Cloudflare uses ClickHouse to support 6M requests per second.

GitLab’s APM datastore

Watch this YouTube video showing why GitLab chose ClickHouse over Timescale to power their APM infrastructure.

FAQs

Wherever you need us, we’re there. We love to engage in thoughtful conversation with the ClickHouse community and are always on-hand to answer your questions.

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