Jitsu vs Superset
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
Superset
Modern data exploration and visualization platform
| Feature | Jitsu | Superset |
|---|---|---|
| Category | Web Analytics | Web Analytics |
| License | MIT | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 512 MB |
| Deployment | docker, kubernetes | bare-metal |
| GitHub stars | ★ 5,016 | ★ 74,178 |
| First released | 2020 | 2026 |
| Replaces | Segment | — |
Why pick each one
Choose Superset if…
- Released under the Apache-2.0 license
- Mature project with 74.2k GitHub stars
- Written in Python
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is Jitsu or Superset better?
Neither is universally better. Superset has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Jitsu and Superset free and open-source?
Yes. Jitsu is licensed under MIT and Superset under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Jitsu and Superset with Docker?
Jitsu: yes. Superset: check the project docs for container support.