#2626th of 173 in Backends, databases and hosting
clickhouse
Column-oriented database for real-time analytical reports
Documentation ↗
(opens in a new tab)Website ↗
(opens in a new tab)Repository on GitHub ↗
(opens in a new tab)
- Stars
- 50.9k
- License
- Apache-2.0
- Last commit
- Nov 2026
- Last release
- Oct 2026
- Language
- C++
Missed the latest GitHub check; these facts may be older.
Overview
ClickHouse is an open-source column-oriented database management system written in C++, built to generate analytical reports in real time. It installs on Linux, macOS and FreeBSD with a curl one-liner, and the maintainers also run a hosted ClickHouse Cloud service. It is a general analytics database rather than an AI starter, so it fits this list only as a backend component.
Who it is for: Engineers needing a self-hosted analytics database behind dashboards or AI apps
Strengths
- Apache-2.0 licensed, with a monthly release cadence and recorded release calls
- Single curl install script for Linux, macOS and FreeBSD
- Official docs, tutorial for a small cluster, and a managed cloud option from the maintainers
Weaknesses
- Not an AI or vibe-coding starter; no auth, billing or app scaffolding included
- Install is a curl-to-shell script; no Docker or Compose files detected in the repo
- README is mostly links and event listings, with no usage examples or benchmarks
- Analytical column store, so not a general-purpose transactional database
Also in Backends, databases and hosting
See all 173| Rank | Project | Score |
|---|---|---|
| 1 | bunJavaScript and TypeScript runtime with bundler, test runner and package manager | 93 out of 100 |
| 2 | traefikHTTP reverse proxy and load balancer that auto-discovers routes from orchestrators | 93 out of 100 |
| 3 | appwriteBackend with auth, databases, storage, functions and an MCP server for agents | 93 out of 100 |
| #4 | ormTypeScript ORM for PostgreSQL and MongoDB with a plugin SPI and agent skills | 93 out of 100 |
| #5 | strapiHeadless CMS that generates REST and GraphQL APIs from content models | 92 out of 100 |