Rankings
Open-Source Business Intelligence
Dashboards, SQL exploration and metrics layers you can clone, self-host and read the source of. Two generations sit on this grid: the 2013-2015 self-hosted dashboard servers (Redash, Superset, Metabase), where you install a server and non-technical users build charts in a browser, and the 2021 code-first wave (Lightdash, Evidence, Rill), where metrics and dashboards are files in git reviewed like any other pull request. The scope is deliberate. Tableau, Power BI and Looker are the tools most BI buyers shortlist, and none of them publish a repository, so there is no issue-resolution rate to measure and no way to place them on a measured axis rather than a guessed one. They are excluded by the definition of this category, not left sitting on it unscored.
Open-Source Business Intelligence Grid
Market Presence vs. Satisfaction
Metabase
The one non-technical users actually use
Apache Superset
The largest open-source BI project, governed by the ASF
Redash
Databricks bought it, shut the hosted service, and the repo kept going
Lightdash
BI that reads its metrics straight out of dbt
Evidence
Reports as markdown files, versioned like code
Rill
Sub-second dashboards on an embedded DuckDB engine
Open-Source Business Intelligence Rankings
Based on public metrics across search volume and GitHub activity
| Rank | Tool | Score | Position | Brand | Community | Pricing |
|---|---|---|---|---|---|---|
| 1 • | Metabase | 60.3 | Leader | 86.0 | 95.0 | Free tier |
| 2 • | Apache Superset | 58.7 | Leader | 82.0 | 97.0 | Free tier |
| 3 • | Redash | 49.6 | Leader | 66.0 | 90.0 | Free tier |
| 4 • | Lightdash | 39.7 | High Performer | 40.0 | 71.0 | Free tier |
| 5 • | Evidence | 38.5 | High Performer | 38.0 | 72.0 | Free tier |
| 6 • | Rill | 35.1 | High Performer | 32.0 | 63.0 | Free tier |