Easy way for everyone in your company to ask questions and learn from data.
- AGPL-3.0
- Clojure
- Docker
- Actively maintained
Analytics comparison
Pick Metabase for the easiest setup and a query builder non-technical users love; pick Apache Superset for SQL-first teams that need many chart types and a permissive Apache license.
Both are open source and run on your own server. Below: a side-by-side of license, stack and features, live GitHub activity, and our verdict on who should pick which.
Easy way for everyone in your company to ask questions and learn from data.
Modern data exploration and visualization platform.
Head-to-head
Hand-checked differences first, then live numbers from GitHub, refreshed with every catalog update.
| Aspect | ||
|---|---|---|
| License | AGPL-3.0 outside the enterprise directory, which is under the Metabase Commercial License | Apache-2.0, an Apache Software Foundation project |
| Language/stack | Clojure on the JVM, React frontend | Python (Flask) backend, React frontend |
| Architecture | Single JAR or container; app database H2 by default, PostgreSQL for production | Web app plus metadata database, with Redis and Celery workers for caching and async queries |
| Standout features | Point-and-click question builder, models, scheduled email and Slack reports | SQL Lab IDE, dozens of chart types, semantic layer, row-level security |
| Learning curve | Low for business users | Moderate to high, aimed at analysts comfortable with SQL |
| GitHub stars | 49,547 | 75,048 |
| Commits, last 12 months | 6,378 | 5,509 |
| Last commit | Oct 6, 2026 | Oct 6, 2026 |
| Latest release | v0.63.19Oct 1, 2026 | 6.1.0May 13, 2026 |
| Main language | Clojure | Python |
| Official Docker image | Yes | No |
| Repository | metabase/metabase | apache/superset |
Swipe the table sideways to see both apps. GitHub figures come from the public API. Highlighted values are the higher of the two.
Metabase is quicker to deploy, a single container, and friendlier for business users who do not write SQL. Superset is more powerful for data teams, with a SQL IDE, a large chart library and fine-grained security, but it needs more components to run and more expertise to use.
Best for
Small teams that want self-serve analytics running in minutes.
Best for
Data teams that write SQL and need advanced visualizations.
Not sure yet? Spin up a small VPS or a managed instance, try both for a week, and keep the one that fits.
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Yes. Metabase runs as a single container, while a production Superset setup usually adds a metadata database, Redis and Celery workers.
Superset ships a larger visualization library. Metabase focuses on a smaller set of common charts that are easy to configure.
They can explore existing dashboards and charts, but building new ones works best for people who know SQL. Metabase is easier for self-serve questions.
Apache Superset has 75,048 GitHub stars against 49,547 for Metabase. Over the last twelve months Metabase received 6,378 commits and Apache Superset received 5,509, so Metabase is the more actively developed of the two right now. Stars measure interest, not fit, so weigh them against the differences above.
Keep comparing
Pick Plausible for a polished, privacy-friendly dashboard built on ClickHouse; pick Umami for an MIT-licensed, Postgres-only analytics app that is simpler to host.
Pick Umami for a lightweight, cookieless dashboard that is easy to host; pick Matomo if you need a full Google Analytics replacement with deep reports, goals and plugins.
Pick Plausible for a simple, cookieless dashboard that anyone on your team can read; pick Matomo if you need ecommerce reports, segments and the depth of Google Analytics.
Pick Metabase for an actively developed BI tool with a visual query builder; pick Redash if your team writes SQL and wants a lightweight, BSD-licensed query and dashboard tool.
Pick Grafana for real-time dashboards over metrics, logs and time-series data; pick Metabase for business intelligence questions over SQL databases that non-technical users can answer.