PostHog Alternative: A Lighter Self-Hosted Option (Honest Comparison)

The short version

PostHog is a product-analytics platform: session replay, feature flags, experiments, surveys, and analytics in one suite. It is genuinely good at that, and if you need those things you should probably use it.

Most people searching for a PostHog alternative are not rejecting the features. They are reacting to one of three things: the ClickHouse cluster they now have to operate, the cost at scale, or the realisation that they wanted website analytics and bought a product-analytics platform.

If that is you, InsightsTrack is a much smaller tool that covers the web-analytics half properly. If you need feature flags, stop reading — PostHog is the right answer and nothing here changes that.

Where PostHog is genuinely better

Stating this plainly, because a comparison that claims to win everything is worthless:

• Session replay. PostHog records and replays real sessions. InsightsTrack does not, deliberately — see the privacy note below.
• Feature flags. A core PostHog product with no equivalent here.
• Experiment framework. PostHog assigns variants and computes statistical significance. InsightsTrack has path-based A/B tests (compare two URLs against a goal) but does not split traffic for you or report confidence intervals.
• Surveys and product tooling. Not something InsightsTrack attempts.
• Autocapture. PostHog can retrofit events onto an app without instrumentation.
• Scale and team. A funded company with a large engineering team behind it.

If two or more of those matter to you, use PostHog.

Where a lighter tool wins

Operational cost

This is the real difference, and it is architectural.

PostHog self-hosted means ClickHouse, plus Kafka, Redis, Postgres, and a set of workers. PostHog's own documentation is candid that self-hosting is for teams prepared to operate that — they steer most users to their cloud precisely because the stack is heavy.

InsightsTrack uses DuckDB, which is embedded. There is no analytics database service: it runs inside the API process and reads a single file. Writes go to PostgreSQL, a background sync feeds DuckDB, reads come from DuckDB.

The architecture deep-dive explains the dual-database design, and DuckDB vs ClickHouse vs Postgres covers when a cluster is genuinely warranted.

Licensing

PostHog's core is MIT, but significant parts of the product live under a separate enterprise licence, and the self-hosted edition is not feature-equivalent to cloud. Read their licence before assuming self-hosted parity.

InsightsTrack is MIT throughout. There is no enterprise tier, no gated feature, and no seat limit.

Privacy posture

PostHog is a product-analytics tool: it identifies users, persists them across sessions, and records replays. That is what makes it useful, and it is also a meaningful data-protection surface — replays capture what people typed unless carefully masked.

InsightsTrack does not record sessions, store IPs, or use cookies. Identifiers are pseudonymous with a rolling expiry. That is a deliberate ceiling on what the tool can tell you, in exchange for a much smaller compliance surface. See privacy-first database design.

Feature comparison

Cost

PostHog Cloud is generous at low volume and priced per event after that, which is fine until a traffic spike or a chatty autocapture configuration lands. Self-hosting removes the per-event bill and replaces it with an infrastructure bill and your team's time.

InsightsTrack has no per-event pricing because there is no vendor. Your cost is the server, and a single modest node handles volumes most sites never reach — see running a warehouse on one server.

How to decide

Choose PostHog if you need session replay, feature flags, or experiments; if you are doing product analytics on a logged-in app; or if you want a managed cloud with a free tier.

Choose InsightsTrack if you want website analytics rather than product analytics; if you are unwilling to operate ClickHouse; if cookieless and self-hosted is a requirement; or if you want raw SQL over your own data without a query service.

Plenty of teams run both — PostHog on the authenticated product, a light cookieless tool on the marketing site. That is a legitimate setup, not a compromise.

Frequently asked questions

Is PostHog overkill for a marketing site?

Usually. Session replay, feature flags, experimentation, and a data warehouse are product-analytics tooling. If your questions are about traffic, sources, and conversions, most of that surface goes unused while you still operate it.

What does PostHog cost to self-host?

In money, nothing for the licence; in operations, considerably more than a single-container tool. The self-hosted stack includes ClickHouse, Kafka, Redis, and Postgres, and PostHog themselves steer smaller deployments toward the cloud.

What does PostHog do that a lighter tool cannot?

Feature flags, experimentation, session replay, and product-analytics primitives like cohort-based funnels across long user journeys. If you need those, the operational cost is buying something real.

Is PostHog open source?

Its main repository is MIT licensed, but some enterprise features are separately licensed. "Open source" is worth verifying feature by feature rather than assuming it covers everything you plan to use.

Can I migrate from PostHog to a lighter tool?

Traffic reporting migrates cleanly. Feature flags and experiments do not — those are product infrastructure your application code depends on, and they need replacing rather than exporting.

Migrating

Historical data does not transfer; the event models are too different. The practical approach is the one in the GA4 migration guide: install alongside, run parallel for two weeks, compare trends rather than absolute totals, then decide.

Setup is one docker-compose up — the Docker guide walks through it.

Also worth reading: the full open-source roundup and vs Plausible.