Analytics and monitoring decision

Mixpanel

A small team can reproduce core analytics (event ingestion, funnels, dashboards) using open-source tooling, but you won't match Mixpanel's proprietary low-latency query engine, AI agents, experiments, and enterprise polish without significant additional engineering and infra investment.

Visit website
You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off80 h to build

$100/mo20 h/mo upkeep

No published price to break even against.

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. All Mixpanel alternatives, with the arithmetic →

What a replacement has to do

  • Collect events from clients, store and index events, run funnel/retention queries, render dashboards/reports, (optional) store session replay blobs and serve replay UI

What it still won’t have

  • Proprietary high-performance query engine (Arb) and its low-latency queries
  • Enterprise-grade AI agents, anomaly/root-cause analysis, and Mixpanel AI features
  • Built-in experiments/feature flags with statistical analysis
  • Polished session replay indexing and search at scale
  • Out-of-the-box governance, compliance tooling, and enterprise support SLAs (SAML/SCIM/audit logs)

What remains hard

  • Infrastructure at scaleWith lightning-speed queries powered by our proprietary database Arb, you can spot critical behavioral trends and patterns in seconds.
  • Brand trustTrusted by 29,000+ companies
Read the build prompt

First-year cost

No published price

Mixpanel does not publish a price we could read, so there is nothing to compare against. What building costs is below.

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 minimal self-hosted product-analytics service using: ClickHouse (or Postgres+Materialized Views) for event storage, Kafka (or Redis Streams) for ingestion pipeline, a Python or Node.js ingestion API, and a React single-page app for dashboards. In scope: HTTP event ingestion endpoint + client tracking snippet, storage schema for events, ingestion worker to populate aggregated tables, APIs for funnels and retention queries, a web UI to create/view simple funnels and saved reports, basic auth, and object storage integration for session replay blobs. Out of scope: distributed proprietary query engine, AI agents, experiment/feature-flag runner, enterprise SSO/SCIM. Deliver: Docker-compose deployment scripts, CI tests for ingestion and query correctness, basic monitoring/alerts, and error handling for malformed events and storage failures.
How we checked5 sources · 3/3 runs agreed · evidence score 64

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
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score64

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.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page