HEAD-TO-HEAD BENCHMARK // ANALYTICS
Apache Superset logo
Apache Superset
VS
Metabase logo
Metabase

Comprehensive side-by-side technical comparison between Apache Superset and Metabase.

⇄ Swap Tools Order
⚡

The Quick Verdict: Which One Should You Choose?

Apache Superset logo
Choose Apache Superset if:

Choose Apache Superset if enterprise data engineers need petabyte-scale Presto/Trino connectivity and complex geospatial charting.

Metabase logo
Choose Metabase if:

Choose Metabase for non-technical team members who need clean visual query builders and fast Slack/Email metric subscriptions.

Technical Specification & Architecture Matrix

Feature / MetricApache SupersetMetabase
Software Categoryanalyticsanalytics
Deployment ModelSelf-Hosted / Private CloudSelf-Hosted / Private Cloud
Licensing & IP RightsApache-2.0AGPL-3.0
Pricing & Seat Model$0 / Unlimited Users (FOSS)$0 / Unlimited Users (FOSS)
GitHub Community Stars★ 75,114★ 49,627
Primary Tech StackPython, React, Flask, PostgreSQLClojure, TypeScript, React
Self-Hosting DifficultyMediumEasy
Hardware & RAM Footprint2 GB - 4 GB RAM (Hetzner CPX21 / $10/mo)1 GB - 2 GB RAM (Hetzner CX22 / $4/mo)
Detailed Inspect PageInspect Apache Superset Stack →Inspect Metabase Stack →
ENGINEERING TRADE-OFFS

Key Advantages & Trade-offs

Apache Superset logo

Apache Superset Analysis

✓ Core Strengths
  • ✓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).
✗ Considerations & Trade-offs
  • ✗Requires basic Linux or Docker server administration and automated backup scheduling.
  • ✗Community support via GitHub issues and Discord rather than formal enterprise SLA.
Metabase logo

Metabase Analysis

✓ Core Strengths
  • ✓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).
✗ Considerations & Trade-offs
  • ✗Requires basic Linux or Docker server administration and automated backup scheduling.
  • ✗Community support via GitHub issues and Discord rather than formal enterprise SLA.
DEPLOYMENT TEMPLATES

Production Docker Compose Configurations

Apache Superset docker-compose.ymlCustom Generator →
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:
Metabase docker-compose.ymlCustom Generator →
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:

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.