Analytics and monitoring decision

Piwik PRO

A competent developer can build a narrow, privacy-first analytics replacement (tracker + storage + simple dashboard) given time, but reproducing Piwik PRO’s certified compliance, enterprise hosting, SLAs and full feature set is impractical without significant additional investment.

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Subscription$36/month ✓ verified
Initial build80 hours
Monthly upkeep8 hours + $0
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Collect client-side events, store and process them, and surface reports/dashboards and simple audiences for activation.

What it still won’t have

  • ISO 27001 and SOC 2 certifications and regular external audits
  • HIPAA BAA and the vendor-managed compliance guarantees
  • Enterprise SLAs, dedicated support and onboarding services
  • Private-cloud hosting options across many regions and managed data residency
  • Polished integrations, feature parity (CDP, Tag Manager, Consent Manager) and long-term scalability work

What remains hard

  • Compliance and regulationHIPAA-compliant analytics suite: Collect and activate patient data for better marketing results
  • Compliance and regulationISO 27001 and SOC 2 certifications & regular external audits
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a privacy-first analytics stack using: React + TypeScript frontend, Node.js + Express ingestion API, ClickHouse (or Postgres) for event storage, and Redis for session aggregation. In scope: a JS tracker that captures pageviews/events, ingestion endpoint with validation, workers to persist events and compute sessions/funnels, a dashboard that shows real-time active users, pageviews, basic funnels and segment filtering, a consent gate that disables tracking when consent absent, CSV export and a raw-data download API. Out of scope: enterprise SLAs, formal ISO/SOC audits, BAA signing, global private-cloud deployment, and advanced CDP features. Include basic error handling, retries for failed ingestion, input validation, authentication for the dashboard, and automated tests for ingestion, persistence and core dashboard endpoints.
How we checked5 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-3
  • Evidence score60

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page