Snowplow vs PostHog
Both are alternatives to Segment. Here's how they stack up — verified facts, no spin.
Also searched as PostHog vs Snowplow — same comparison, one verdict.
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.
PostHog
Skip the pipe — the analytics tool collects its own events.
The question worth asking before buying a customer data platform is whether you need one. A great many Segment deployments exist to feed a single analytics tool, and PostHog collects its own events, does product analytics, session replay, feature flags and experiments, and can export to your warehouse — no router in the middle. That removes an entire vendor, an entire bill and an entire failure mode. MIT core with an `ee/` enterprise carve-out, around 37k stars. If Segment's job in your stack is 'get events into one place', this deletes the job.
Side by side
| Snowplow | PostHog | |
|---|---|---|
| Sovereignty Score | 89 | 85 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | Apache-2.0 (core; some components under a separate licence) | MIT core, with an `ee/` enterprise directory carve-out |
| Pricing | Open-source core free and self-hostable. Snowplow BDP is a paid managed product. | Generous free tier on cloud; self-hostable at no licence cost for the MIT core. |
Snowplow edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
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
PostHog
Strengths
- +Removes the CDP entirely when analytics was the only destination
- +Analytics, replay, flags and experiments in one product
- +Self-hostable — behavioural data never leaves your infrastructure
- +Very generous free tier
Trade-offs
- −Not a real CDP — it will not fan out to fifty marketing tools
- −Self-hosting at volume means operating ClickHouse
- −The `ee/` directory is not MIT
- −Wrong answer if marketing genuinely needs many destinations
Related alternative guides
Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.