Magda

What it is

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.

Magda stands out as a federated, open-source solution for managing diverse datasets across multiple environments, offering flexibility and scalability.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Steep learning curve for non-Scala developers

   Primary language is Scala, which may be unfamiliar and complex to developers more accustomed to other languages like Java or Python.

2. 02

   Limited community support due to niche focus

   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.

3. 03

   Complex setup and configuration requirements

   Setting up Magda involves configuring multiple services and dependencies, which can be time-consuming and error-prone for new users.

4. 04

   Performance issues with very large datasets

   While designed to handle both big and small datasets, performance degradation has been reported when managing extremely large or complex data sets.

What it does well

• Federated data cataloging across multiple environments

• Support for both big and small datasets

• Open-source with Apache-2.0 license

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.