ClickHouse
Column-oriented OLAP database
The score summarizes repository activity. Funding is unknown and excluded from the score. These repository signals do not establish financial stability, security, or maintainer availability. How to interpret this data.
Evidence and limitations
Activity source: ClickHouse/ClickHouse via the GitHub API. Counts describe this repository, which may be a mirror or only part of the project.
- Commits in 30 days
- 12685
- Commits in 90 days
- 46916
- Authors accounting for half the sampled commits
- 2
The 200-commit author sample does not cover the full 90 days. Author counts are lower bounds; concentration describes the sample only.
Few commits can reflect mature software. Commit authors do not establish merge rights, available maintainers, organizational diversity, or knowledge distribution. Funding is unknown; donation links alone do not establish income or runway.
Correct this assessment or provide evidence →Ways to help ClickHouse
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Overview
ClickHouse is an open-source column-oriented database management system that allows generating analytical reports using SQL queries in real-time.
Importance
- Leading OLAP database
- Powers real-time analytics
- Foundation for data warehousing
- Critical for big data analytics
Key Features
- Columnar storage
- Real-time queries
- High compression
- Distributed processing
Sustainability
Financial sustainability and maintainer capacity have not yet been reviewed against current primary sources. See the evidence and support sections above for available information and a way to suggest corrections.
Dependencies
