Question 7: Self-hosted or hosted privacy-friendly analytics - which is better for a small team, and which products fit each option?

For a small team, hosted (cloud) privacy-friendly analytics is usually better, unless you have dedicated DevOps resources or strict regulatory mandates requiring data to stay on private infrastructure.

Hosted vs. Self-Hosted: Which is Better for a Small Team?

Hosted (Cloud) Analytics:

Why it fits small teams: It saves time. The vendor handles server uptime, database scaling, SSL certificates, backups, and security patches. Your small team just drops a tracking script onto the website and looks at the dashboard.

The catch: You rely on a third party (though privacy-focused hosts store data anonymized or within specific jurisdictions like the EU).

Self-Hosted Analytics:

Why it fits small teams: Complete data ownership, zero recurring software subscription fees (beyond a cheap VPS like DigitalOcean or Hetzner), and the ability to customize source code.

The catch: It turns analytics into an ongoing maintenance task. Someone has to patch Docker containers, monitor disk space, run database upgrades, and troubleshoot crashes. For a small team, unmaintained self-hosted servers often turn into a security liability.

Products That Fit Each Option

1. Best Hosted (Cloud) Options

Plausible Cloud: Lightweight, fast, cookieless, and clean UI without requiring a cookie banner. Hosted on EU-owned infrastructure. (Starts around $9/mo).

Fathom Analytics: A 100% independently owned, cookieless, and privacy-first web analytics platform designed to be simple with zero training needed.

Umami Cloud: Offers a generous free tier for smaller projects, providing a clean, real-time minimalist dashboard.

2. Best Self-Hosted Options

Umami (Open Source / MIT License): Widely regarded as the best lightweight choice for self-hosting; it uses Node.js and PostgreSQL and deploys easily via Docker.

Plausible Community Edition (AGPL-3.0): The free, open-source version of Plausible, though it requires a slightly heavier stack (Docker, PostgreSQL, and ClickHouse).

Matomo On-Premise (GPL-v3): The closest true open-source alternative to full Google Analytics, featuring deep ecommerce tracking, heatmaps (via plugins), and custom reports, though it requires PHP and MySQL/MariaDB.

PostHog (MIT Core): Best if you are building a software product (SaaS) and need product analytics, session replays, and feature flags rather than just basic pageviews.

If you tell me:

Whether you are tracking a standard marketing website/blog or a software product/SaaS

Your approximate monthly pageviews or traffic volume

I can recommend the exact right tool and tier for your team.