What is ClickHouse used for?

ClickHouse is an open-source column-oriented database management system built for real-time analytical reports, available to self-host or as the managed ClickHouse Cloud service. It is a good fit for product and event analytics, log and metrics storage at scale, and real-time dashboards over big tables.

Is ClickHouse open source?

Yes. ClickHouse is open source under the Apache-2.0 licence. Its source code is on GitHub at ClickHouse/ClickHouse and is written mainly in C++.

Yes. ClickHouse is open source, so the software itself is free to use. A managed cloud version is also available.

Can I self-host ClickHouse?

Yes. ClickHouse can be self-hosted on your own server or infrastructure.

What is ClickHouse an alternative to?

ClickHouse is an open-source alternative to Snowflake, Google BigQuery, Amazon Redshift and SingleStore. Other open-source alternatives to Snowflake include Apache Doris, StarRocks and Databend.

Is ClickHouse actively maintained?

Yes. The most recent commit to ClickHouse was on 2 October 2026, and the latest release is v26.9.8.3-stable, published on 1 October 2026. The project has 50k stars on GitHub.

ClickHouse: open-source alternative to Snowflake

About ClickHouse

ClickHouse is an open-source database management system built to generate analytical reports in real time. Its column-oriented storage makes scans and aggregations over very large tables efficient, which is why it is widely used for event data, logs, metrics and product analytics. It is written in C++ and queried with SQL.

The project's topics describe it as an OLAP, massively parallel and distributed system, and it is used for big data workloads where query latency matters. You can install it on Linux, macOS or FreeBSD, follow a tutorial that sets up a small cluster, or skip installation by trying ClickHouse Cloud, a managed service built by its creators. Releases arrive monthly, with a community call for each one, and there are Slack and Telegram channels for help.

ClickHouse is Apache-2.0 licensed. It is a good fit for analytics engineers and platform teams who need fast aggregations over billions of rows and are comfortable operating a database, or who prefer to hand that operation to the vendor's cloud.

Key features

Column-oriented storage for analytics
SQL queries over large datasets
Distributed, massively parallel processing
Real-time analytical reporting
Install on Linux, macOS or FreeBSD
Managed ClickHouse Cloud option

Good fit for

→Product and event analytics
→Log and metrics storage at scale
→Real-time dashboards over big tables

Built with: C++; ClickHouse; Rust
Tags: database; olap; analytics; columnar; sql; big-data; real-time; clickhouse

ClickHouse: questions and answers

What is ClickHouse used for?: ClickHouse is an open-source column-oriented database management system built for real-time analytical reports, available to self-host or as the managed ClickHouse Cloud service. It is a good fit for product and event analytics, log and metrics storage at scale, and real-time dashboards over big tables.
Is ClickHouse open source?: Yes. ClickHouse is open source under the Apache-2.0 licence. Its source code is on GitHub at ClickHouse/ClickHouse and is written mainly in C++.
Is ClickHouse free?: Yes. ClickHouse is open source, so the software itself is free to use. A managed cloud version is also available.
Can I self-host ClickHouse?: Yes. ClickHouse can be self-hosted on your own server or infrastructure.
What is ClickHouse an alternative to?: ClickHouse is an open-source alternative to Snowflake, Google BigQuery, Amazon Redshift and SingleStore. Other open-source alternatives to Snowflake include Apache Doris, StarRocks and Databend.
Is ClickHouse actively maintained?: Yes. The most recent commit to ClickHouse was on 2 October 2026, and the latest release is v26.9.8.3-stable, published on 1 October 2026. The project has 50k stars on GitHub.