Magda
Federated open-source data catalog for big and small data.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Magda?
Magda is a federated, open-source data catalog designed to manage both large-scale and smaller datasets efficiently. It provides tools for discovering, managing, and sharing data across different environments.
Key differentiator
“Magda stands out as a federated, open-source solution for managing diverse datasets across multiple environments, offering flexibility and scalability.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Primary language is Scala, which may be unfamiliar and complex to developers more accustomed to other languages like Java or Python.
Magda's specific use case in federated data cataloging might result in a smaller user base, leading to fewer community contributions and slower issue resolution times.
Setting up Magda involves configuring multiple services and dependencies, which can be time-consuming and error-prone for new users.
While designed to handle both big and small datasets, performance degradation has been reported when managing extremely large or complex data sets.
Fit analysis
Who is it for?
✓ Best for
Organizations needing a federated approach to manage diverse datasets
Teams that require open-source solutions with flexible licensing terms
✕ Not a fit for
Projects requiring real-time data streaming capabilities
Small projects where self-hosting is not feasible or preferred
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Integrations
Next step
Get Started with Magda
Step-by-step setup guide with code examples and common gotchas.