Lightdash vs Microsoft Power BI
Both are alternatives to Tableau. Here's how they stack up — verified facts, no spin.
Also searched as Microsoft Power BI vs Lightdash — same comparison, one verdict.
Lightdash
BI that reads your dbt models, so metrics are defined once.
Lightdash builds its entire semantic layer from your existing dbt project: define a metric once in dbt, and it appears in BI with the same definition everywhere. That solves the specific and expensive problem of the same number meaning three different things in three dashboards, which is where most BI trust breaks down. Around 6k stars — the smallest here — and it only makes sense if you already run dbt. Where you do, it is the tightest fit on this page.
Microsoft Power BI
A fifth of Tableau's per-seat price, if you are already on Microsoft.
Power BI Pro is about $14 per user per month against Tableau Creator's $75, and for organisations already inside Microsoft 365 the integration with Excel, Teams and Azure is genuinely deep. Listed here because refusing to name the obvious commercial alternative would be dishonest: for a Microsoft-shop finance department, Power BI is very often the right answer and no open tool changes that. The costs are the usual ones — proprietary, Windows-centric for authoring, and Fabric capacity pricing escalates sharply once you outgrow Pro.
Side by side
| Lightdash | Microsoft Power BI | |
|---|---|---|
| Sovereignty Score | 87 | 28 |
| Open source | Yes | No |
| Self-hostable | Yes | No |
| Local-first | Yes | No |
| License | MIT (open core; paid cloud tier) | Proprietary (hosted service) |
| Pricing | Open-source core free and self-hostable. Lightdash Cloud is paid. | Power BI Pro about $14/user/month; Premium and Fabric capacity considerably more. Checked 2026-08-04. |
Lightdash edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
Lightdash
Strengths
- +Metrics defined once in dbt and used everywhere — no drifting definitions
- +Version-controlled BI, reviewed in pull requests like code
- +MIT core
- +Fast to adopt if dbt is already in place
Trade-offs
- −Effectively requires dbt — useless without it
- −Smallest project and community on this page
- −Fewer visualisation types than Superset
- −Less suited to ad-hoc exploration by non-technical staff
Microsoft Power BI
Strengths
- +Roughly a fifth of Tableau's per-seat cost
- +Deep integration with Excel, Teams and the Microsoft estate
- +Strong data modelling with DAX
- +Familiar to anyone who has used Excel seriously
Trade-offs
- −Proprietary and hosted; deepens Microsoft lock-in
- −Authoring is effectively Windows-only
- −Fabric capacity pricing escalates steeply at scale
- −Practically requires a Microsoft-centric organisation
Related alternative guides
Facts verified 2026-08-04. Licenses and pricing change — spotted something out of date? That's a correction we want.