Jitsu vs Snowplow
Both are alternatives to Segment. Here's how they stack up — verified facts, no spin.
Also searched as Snowplow vs Jitsu — same comparison, one verdict.
Jitsu
MIT-licensed event pipeline, no licence footnotes.
Jitsu is the option with nothing to explain: MIT, self-hostable, real-time event collection into ClickHouse, BigQuery, Snowflake, Postgres and the rest. Around 4.8k stars. It is smaller than RudderStack and has fewer destinations, and that is the entire trade — you give up catalogue breadth and get a licence you can read in five minutes and never think about again. For a team whose legal review killed the last two candidates, that is often the deciding feature.
Snowplow
The raw event stream, with schemas enforced at collection.
Snowplow is a different proposition: rather than routing events to tools, it captures a rich, schema-validated event stream and puts it in your warehouse, where you decide what it means. Every event is validated against a JSON schema at collection, so the data-quality problems that usually surface months later surface immediately. Apache-2.0 core, around 7k stars, used by large organisations that treat behavioural data as an asset rather than a dashboard input. It is more work to adopt and more valuable once adopted.
Side by side
| Jitsu | Snowplow | |
|---|---|---|
| Sovereignty Score | 94 | 89 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | MIT | Apache-2.0 (core; some components under a separate licence) |
| Pricing | Free and open source. Jitsu Cloud is a paid hosted option. | Open-source core free and self-hostable. Snowplow BDP is a paid managed product. |
Jitsu edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
Jitsu
Strengths
- +Genuinely MIT — no carve-outs, no source-available asterisk
- +Real-time streaming into the major warehouses
- +Lightweight enough to self-host without a platform team
- +Simple, readable architecture
Trade-offs
- −Far fewer destinations than RudderStack or Segment
- −Smaller community and fewer worked examples
- −No identity resolution to speak of
- −Less mature governance tooling
Snowplow
Strengths
- +Schema validation at collection — bad data is caught immediately
- +Richest event data of anything here; you own the raw stream
- +Apache-2.0 core with a decade of production use
- +Built for organisations that model behaviour rather than count it
Trade-offs
- −Most complex pipeline on this page to deploy and run
- −You build the modelling layer; it gives you rows, not answers
- −Some components sit under a separate licence — check per component
- −Overkill if you just need events forwarded to four tools
Related alternative guides
Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.