Analytics and monitoring decision
Microsoft Power BI
Build a narrow, self-hosted dashboard and sharing workflow (using Superset/Metabase ideas) if you only need core reporting and control; keep paying for Power BI if you require Fabric integrations, Copilot AI, large premium capacity, vendor SLAs, or Microsoft-managed governance.
Visit website↗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
- Ingest data → model/transform → build interactive report/dashboard → publish/share with teams → schedule refreshes.
What it still won’t have
- Deep Microsoft Fabric integration (Copilot, OneLake, Fabric features)
- Proprietary AI features (Copilot in Power BI) and Microsoft-managed semantic engine optimizations
- Scale and reserved premium capacity (large-model memory and enterprise SLAs)
- Official Microsoft licensing, support, and governance controls
What remains hard
- Integration maintenance
- Proprietary models
- Infrastructure at scale
- Brand trust
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 12 seats.
Money you would actually spend
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
Build a minimal self-hosted BI dashboard service using PostgreSQL + DuckDB + React + FastAPI + Redis. Core features in scope: (1) connectors for PostgreSQL and CSV upload, (2) a lightweight semantic layer implemented with DuckDB-based materialized models and a simple expression/calculation layer, (3) a React single-page app for authoring and viewing interactive charts (charting via Apache ECharts), (4) REST APIs for publishing/embedding reports and role-based access control using OAuth/OIDC, and (5) scheduled refresh worker using Redis + rq and health/refresh logs. Out of scope: full DAX compatibility, Microsoft Fabric/Copilot AI, enterprise reserved capacity, and every connector. Include error handling, authentication failures, and tests (unit tests for API and integration test for end-to-end ingestion→dashboard). Deploy with Docker Compose (dev) and Kubernetes manifests (prod).
How we checked
How the score was reached
- Pay verdict base20
- An open-source build was found+5
- 4 cited sources+3
- Hard moats found in the evidence-6
- Evidence score22
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 · 4
Every page the run actually retrieved.
- official docsWhat is Power BI? Overview of Components and Benefits - Microsoft Learn
- official productPower Platform / Power BI product page - Microsoft
- official docsPower BI REST API - Microsoft Learn
- open sourceApache Superset GitHub repository
Integrity checks
What held up, and what did not.
