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 and PostHog are closely matched on ownership (89 vs 85) — this one comes down to pricing and to which trade-offs below you can live with.
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
6 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| Snowplow | PostHog | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 89 | 85 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | 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
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Snowplow
if a lower exit cost matters more to you than any single feature, and schema validation at collection — bad data is caught immediately.
Choose PostHog
if removes the CDP entirely when analytics was the only destination.
Neither, yet
if both carry a real cost you should weigh first — most complex pipeline on this page to deploy and run, and not a real CDP — it will not fan out to fifty marketing tools. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
Snowplow vs PostHog — common questions
Is Snowplow a better fit than PostHog for customer data platforms?
It depends on what you are optimising for, and the honest split is this: Snowplow scores 89 to PostHog's 85 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. PostHog earns its place on a different axis — removes the CDP entirely when analytics was the only destination. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Snowplow keeps its data local or in open formats, so leaving is an export rather than a negotiation. PostHog is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host Snowplow or PostHog?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are Snowplow and PostHog both alternatives to Segment?
Yes — both appear in our Segment comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off Segment and now choosing between the two replacements, which is a narrower and much easier question.
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Facts verified 2026-08-03. Licenses and pricing change — spotted something out of date? That's a correction we want.