Guide

The best self-hosted analytics tools in 2026

Self-hosting analytics means your data stays on your own servers — but it’s an operational decision, not just a feature one. Here’s an honest look at the strongest options and what running each actually involves.

Self-hosting is an ops decision

Every tool here is open source and self-hostable, so the question isn’t whether you can own your data — it’s what running the tool costs you in operations. Weigh three things:

  • Footprint — how many services you have to stand up and keep alive.
  • Infrastructure — a lightweight script + one database, or a columnar event store and a queue.
  • Maintenance — updates, backups, and scaling as your volume grows.

This roundup focuses on the self-hosting experience. For a feature-by-feature look at what each tool measures, see the best open source analytics tools.

Web analytics — lightest to run

Umami

A simple, cookieless web-analytics tool on Node with a single Postgres or MySQL database — among the easiest to run, comfortably on a small VPS. Umami v2 added funnels, retention, and journeys, but it stays aggregate (no per-person profiles). MIT-licensed. Best for: a minimal, low-maintenance traffic dashboard. If you outgrow aggregate stats, see Umami vs product analytics.

Plausible

Privacy-first, cookieless web analytics with a famously light script. The Community Edition self-hosts on Elixir with Postgres and ClickHouse — a bit more to run than Umami, still modest. AGPL-3.0. Best for: clean traffic analytics without cookie banners. Compare it as a Plausible alternative.

Matomo

The most full-featured open-source web analytics platform and the closest direct Google Analytics replacement, on PHP + MySQL. More capability means more to operate, and heatmaps and recordings are paid plugins. Best for: a complete GA replacement for web and marketing. See the Matomo alternative.

Product analytics — heavier, but behavioral

PostHog

Open-source (MIT) and very broad — analytics, replay, flags, experiments. The catch for self-hosters: the open-source build is a community “hobby” Docker Compose deployment (one project per instance, no commercial support), and PostHog steers production users to its cloud. Operationally it’s the heaviest option here. Best for: teams that want breadth and will accept the ops. Details: PostHog alternative.

Pug

Open-source (AGPL-3.0) product analytics with unified profiles and autocapture. It’s built to be self-hosted: the API and every worker run as a single Go binary, backed by Postgres, ClickHouse, and NATS — fewer moving parts than a multi-service platform, so the operational surface stays small. Self-hosting is free forever, with no event caps. It’s in open beta today. Best for: product analytics you own without service sprawl. See self-hosting Pug and the setup guide.

How to choose

If you only need website traffic, the lightest tools (Umami, Plausible) are the easiest to run; Matomo is the fullest GA replacement if you accept more ops. If you need product behavior — funnels, retention, and a profile per person — you’re into product analytics, where the event store makes the stack heavier; Pug keeps that footprint smaller by shipping as one binary. Whatever you choose, self-hosting keeps every event on your own infrastructure. Moving off Google specifically? Our free Google Analytics replacement guide walks through it.

FAQ

Common questions

What is the best self-hosted analytics tool?

It depends on what you’re measuring and how much ops you want. For website traffic, Umami and Plausible are the lightest to run; Matomo is the fullest but heavier. For product analytics (funnels, retention, profiles), PostHog is the broadest but operationally heavy, while Pug runs as a single Go binary to keep the footprint small.

How much does it cost to self-host analytics?

The software is free — you pay for infrastructure. Lightweight web-analytics tools run on a $5–12/month VPS. Product-analytics tools need a columnar event store (ClickHouse) and more memory, so budget more compute, plus the time to maintain and update the stack.

Is self-hosting analytics worth it?

If data ownership, privacy, or avoiding per-event SaaS bills matters, yes. The cost you take on is operational — provisioning, updates, and scaling. Tools with a smaller footprint (one binary, fewer services) lower that cost.

Which self-hosted analytics is easiest to run?

For web analytics, Umami is among the simplest (Node + a single database). For product analytics, Pug keeps things lean by running the API and every worker as one Go binary, backed by Postgres, ClickHouse, and NATS — fewer moving parts than a multi-service platform.

Self-host product analytics, the lean way.

Pug runs as a single Go binary, is free forever under AGPL-3.0, and is free in the cloud during open beta.