Comprehensive side-by-side technical comparison between Apache Superset and Metabase.
The Quick Verdict: Which One Should You Choose?
Choose Apache Superset if enterprise data engineers need petabyte-scale Presto/Trino connectivity and complex geospatial charting.
Choose Metabase for non-technical team members who need clean visual query builders and fast Slack/Email metric subscriptions.
Technical Specification & Architecture Matrix
| Feature / Metric | Apache Superset | Metabase |
|---|---|---|
| Software Category | analytics | analytics |
| Deployment Model | Self-Hosted / Private Cloud | Self-Hosted / Private Cloud |
| Licensing & IP Rights | Apache-2.0 | AGPL-3.0 |
| Pricing & Seat Model | $0 / Unlimited Users (FOSS) | $0 / Unlimited Users (FOSS) |
| GitHub Community Stars | ★ 75,114 | ★ 49,627 |
| Primary Tech Stack | Python, React, Flask, PostgreSQL | Clojure, TypeScript, React |
| Self-Hosting Difficulty | Medium | Easy |
| Hardware & RAM Footprint | 2 GB - 4 GB RAM (Hetzner CPX21 / $10/mo) | 1 GB - 2 GB RAM (Hetzner CX22 / $4/mo) |
| Detailed Inspect Page | Inspect Apache Superset Stack → | Inspect Metabase Stack → |
Key Advantages & Trade-offs
Apache Superset Analysis
- ✓100% data sovereignty & on-premises privacy with no third-party data mining.
- ✓Zero per-seat licensing fees; scale unlimited team members on private VPS.
- ✓Full inspection and custom modification of source code (Apache-2.0 license).
- ✗Requires basic Linux or Docker server administration and automated backup scheduling.
- ✗Community support via GitHub issues and Discord rather than formal enterprise SLA.
Metabase Analysis
- ✓100% data sovereignty & on-premises privacy with no third-party data mining.
- ✓Zero per-seat licensing fees; scale unlimited team members on private VPS.
- ✓Full inspection and custom modification of source code (AGPL-3.0 license).
- ✗Requires basic Linux or Docker server administration and automated backup scheduling.
- ✗Community support via GitHub issues and Discord rather than formal enterprise SLA.
Production Docker Compose Configurations
version: '3.8'
services:
superset:
image: apache/superset:latest
restart: unless-stopped
ports:
- "${PORT:-8088}:8088"
environment:
- SUPERSET_SECRET_KEY=${SECRET_KEY:-change_this_to_a_complex_random_secret_string}
volumes:
- superset_home:/app/superset_home
volumes:
superset_home:version: "3.8"
services:
metabase:
image: metabase/metabase:latest
ports:
- "${PORT:-3000}:3000"
environment:
MB_DB_FILE: /metabase-data/metabase.db
volumes:
- metabase-data:/metabase-data
restart: unless-stopped
volumes:
metabase-data:Related Head-to-Head Software Battles
Apache Superset vs Metabase: Frequently Asked Questions
What is the primary difference between Apache Superset and Metabase?
Apache Superset is a self-hosted open-source software (Apache-2.0 licensed) focused on Modern enterprise-grade data exploration and visualization platform. In contrast, Metabase is a self-hosted open-source solution (AGPL-3.0 licensed) focused on The easy, open-source way for everyone in your company to ask questions and learn from data.
How much money can a 25-person team save by choosing Apache Superset?
Commercial per-seat SaaS tools typically charge $10–$40/user/month ($3,000–$12,000/year for 25 seats). Self-hosting open-source software on a private VPS (typically $10–$25/month on Hetzner or DigitalOcean) reduces recurring software expenses by up to 95%.
What are the production server hardware requirements for self-hosting?
For Apache Superset, recommended baseline memory is 2 GB - 4 GB RAM (Hetzner CPX21 / $10/mo). For Metabase, recommended memory is 1 GB - 2 GB RAM (Hetzner CX22 / $4/mo). Both can be provisioned using modern Docker Compose configurations.
Is data export and migration supported between Apache Superset and Metabase?
Yes. Open-source solutions prioritize data portability with standard SQL database dumps, JSON/CSV exports, or native markdown files, ensuring zero vendor lock-in.