Jitsu vs Redash
A side-by-side comparison of two self-hosted web analytics options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Jitsu
Open-source data ingestion and event collection engine
VS
Redash
Connect, query, visualize, and share your data
| Feature | Jitsu | Redash |
|---|---|---|
| Category | Web Analytics | Web Analytics |
| License | MIT | BSD-2-Clause |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 2,048 MB |
| Deployment | docker, kubernetes | docker, bare-metal |
| GitHub stars | ★ 5,016 | ★ 28,737 |
| First released | 2020 | 2013 |
| Replaces | Segment | Tableau, Mode Analytics |
Why pick each one
Choose Redash if…
- Released under the BSD-2-Clause license
- First-class Docker support for quick deployment
- Mature project with 28.7k GitHub stars
- Written in Python
Frequently asked questions
Is Jitsu or Redash better?
Neither is universally better. Redash has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Jitsu and Redash free and open-source?
Yes. Jitsu is licensed under MIT and Redash under BSD-2-Clause. Both can be self-hosted at no software cost.
Can I run Jitsu and Redash with Docker?
Jitsu: yes. Redash: yes.