Analytics and monitoring decision

kpiboard.io

A competent technical user can replicate core dashboarding, ETL and scheduled reporting using open-source tools (Metabase/Grafana + Airbyte + Postgres), but the vendor's managed team, Power BI/Fabric expertise and bespoke consulting are not replaced by self-hosting.

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Built by Max Hamal 🇺🇦, who ships 8 products in this index

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-off40 h to build

$0/mo3 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 kpiboard.io alternatives, with the arithmetic →

What a replacement has to do

  • Ingest business data, transform/warehouse it, and surface dashboards and scheduled reports to users.

What it still won’t have

  • A dedicated external BI team providing ongoing consulting and rapid custom work
  • Senior-level Microsoft Fabric / Power BI architecture and prebuilt Fabric solutions
  • White-glove onboarding, hands-on data modelling and bespoke dashboard development
  • Guaranteed service SLAs and managed unlimited requests

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

kpiboard.io 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
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Subscription price × seats × 12

Build it
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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 self-hosted BI stack using Docker on a single VPS: Postgres for warehouse, Airbyte for connectors, dbt (or SQL scripts) for transforms, and Metabase for dashboarding. Core features in scope: connect 5 common sources (Postgres, MySQL, Shopify, Google Ads, CSV/APIs), run nightly ETL jobs, seed metric tables, create role-based access and row-level filtering, schedule daily/weekly PDF and CSV reports emailed to recipients, and host with TLS and automated backups. Out of scope: bespoke Power BI/Fabric authoring, managed consultancy, or custom mobile apps. Include error handling, retry logic for connectors, logging, basic health checks, and automated tests for ETL transforms.
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
  • 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.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded