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ClickHouse, Inc.: high-speed data analytics

L’essentiel

Founded in the United States around an open-source database, ClickHouse, Inc. develops tools for analyzing large volumes of data. Its model combines freely available software with a commercial cloud offering aimed at technical teams and businesses.

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Founded in the United States around an open-source database, ClickHouse, Inc. develops tools for analyzing large volumes of data. Its model combines freely available software with a commercial cloud offering aimed at technical teams and businesses.


ClickHouse, Inc. is an American company in the data sector that develops and markets a column-oriented analytical database. Its engine enables SQL queries on vast datasets, particularly when applications require fast results from frequently updated data. The company serves developers, data teams and organizations building analytics services. Its website is clickhouse.com.

From origins at Yandex to an independent company

ClickHouse originated at Yandex, where the technology was designed to meet the analytics needs of its web audience measurement service. The software was released as open source in 2016 under the Apache 2.0 license. This move enabled adoption beyond its original environment and encouraged the formation of a community of users and contributors.

In 2021, Alexey Milovidov, one of the engine’s creators, founded ClickHouse, Inc. with Aaron Katz and Yury Izrailevsky. This independent company drives the technology’s commercial development. It retains an open-source foundation while building paid services to simplify its operation in enterprise settings.

An analytical engine and a managed cloud offering

Unlike transactional databases, which are primarily designed to record and modify individual transactions, ClickHouse prioritizes analytical queries spanning many rows. Columnar storage, compression and parallel execution help limit the amount of data read and speed up calculations. These choices are particularly well suited to aggregations, interactive dashboards and the exploration of event series.

Use cases include digital behavior analysis, infrastructure observability, application logs and operational metrics. The engine can also serve as an analytical layer for applications offered directly to a company’s customers. Its actual performance, however, depends on the data model, available resources and query design.

Launched in 2022, the ClickHouse Cloud offering is a key monetization channel. It handles some infrastructure and operational tasks, with billing based on resource consumption. Businesses can therefore choose between running the software with their own teams and using a managed service. This combination allows the company to reach both self-sufficient users and organizations seeking commercial support.

What’s next?

ClickHouse’s trajectory will depend in particular on its ability to convert adoption of its engine into sustained cloud usage. The growth of analytics embedded in applications and the need for observability offer opportunities, but the market remains competitive, with cloud data warehouses and other specialized engines vying for business.

For the company, the challenge therefore extends beyond query speed. Ease of integration, governance, security and cost control will influence customers’ decisions. Maintaining the trust of the open-source community while expanding commercial services will also remain a crucial balancing act.

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