3 open source alternatives to Microsoft Power BI
Microsoft's BI suite bundled with Fabric and M365. Here are the open source projects real teams use instead — ranked by fit, with honest pros and cons for each.
What people don't love about Microsoft Power BI
- Licensing is a maze between Pro, Premium, Fabric and E5.
- Vendor lock-in to Azure and Microsoft identity.
- Performance degrades on complex models without premium capacity.
Current Microsoft Power BI pricing (for reference): Pro $14/user/month; Premium per-user $24; Fabric capacity priced separately.
Quick comparison
| Alternative | Best for | License | Self-host | Hosted cloud? |
|---|---|---|---|---|
|
Apache Superset Modern data exploration and dashboarding platform from Airbnb/Apache. |
Power BI-scale dashboards without the Microsoft licensing maze. | Apache-2.0 | ★★★★☆ | Yes |
|
Metabase Friendly BI tool aimed at non-SQL users asking questions of data. |
Fast, pragmatic dashboards when you don't need a full data-platform migration. | AGPL-3.0 (Community) / commercial (Enterprise, Pro) | ★★☆☆☆ | Yes |
|
Redash SQL-first analytics platform with dashboards and alerts. |
Alerts and scheduled queries for data-heavy product teams. | BSD-2-Clause | ★★★☆☆ | Self-host only |
1. Apache Superset — Power BI-scale dashboards without the Microsoft licensing maze.
Modern data exploration and dashboarding platform from Airbnb/Apache.
Strengths
- Connects to 40+ SQL engines out of the box.
- Rich visualizations, row-level security and dashboards.
- Mature role/permission model for enterprise deployments.
Weaknesses
- Non-trivial to operate (Celery workers, caches, metadata DB).
- Python-heavy customization; not plug-and-play for non-engineers.
- Embedded analytics requires care around auth.
Apache Superset homepage · Source on GitHub · Microsoft Power BI vs Apache Superset →
2. Metabase — Fast, pragmatic dashboards when you don't need a full data-platform migration.
Friendly BI tool aimed at non-SQL users asking questions of data.
Strengths
- Single JAR install — runs on a laptop or a server.
- Questions, dashboards and alerts usable by non-analysts.
- Large integration catalog.
Weaknesses
- Community edition lacks some features (SSO, audit, data sandboxing).
- AGPL is a sticking point for commercial embedding.
- Performance on very complex models lags dedicated analytics engines.
Metabase homepage · Source on GitHub · Microsoft Power BI vs Metabase →
3. Redash — Alerts and scheduled queries for data-heavy product teams.
SQL-first analytics platform with dashboards and alerts.
Strengths
- SQL editor plus query scheduling and caching.
- Connects to dozens of sources, including NoSQL and APIs.
- Alerts on query results, not just dashboards.
Weaknesses
- Development slowed after Databricks acquisition in 2020.
- Self-host stack is heavier than Metabase.
- UI shows its age next to newer BI entrants.
Redash homepage · Source on GitHub · Microsoft Power BI vs Redash →
Not what you're looking for?
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