Amundsen
Claim this toolOpen-source data discovery and metadata engine for enhanced data trust and productivity.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Enhances data discoverability and trust
Biggest con
Requires self-hosting and setup
TL;DR - Amundsen
- Open-source data catalog for discovering and trusting data.
- Automates metadata collection and facilitates context sharing.
- Improves productivity for data professionals by breaking data silos.
Pricing: Free forever
Best for: Individuals & startups
What is Amundsen?
Amundsen is an open-source data catalog and metadata engine designed to help organizations discover, understand, and trust their data. It serves as a central hub for data assets, allowing data professionals to quickly find relevant data for their analysis, models, and pipelines.
The platform is built to benefit Data Analysts, Data Scientists, Data Engineers, and Software Engineers. It helps analysts and data scientists be more productive by breaking down data silos, providing immediate context, and showing how others are using the data. For engineers, it reduces interruptions by automatically sharing context, ensures the use of correct data in pipelines, and speeds up debugging by centralizing all table-related information.
Amundsen achieves this by offering a PageRank-inspired search algorithm for data discovery, automated and curated metadata (descriptions, usage statistics, last updated times, data previews), and features for sharing context among co-workers. Users can update table and column descriptions, see frequently used or bookmarked data by peers, and view common queries or dashboards built on specific tables.
Pros & Cons
Pros
- Enhances data discoverability and trust
- Increases productivity for data professionals
- Reduces data silos and improves collaboration
- Provides automated and curated metadata
- Open-source with an Apache License 2.0
Cons
- Requires self-hosting and setup
- Integration effort may be needed for specific data sources
- Community support may be the primary resource
Preview
Key Features
PageRank-inspired search algorithm for data discoveryAutomated metadata collection (descriptions, statistics, usage)Curated metadata editing (table/column descriptions)Data preview functionality (if permitted)Link ETL jobs and code to data assetsVisibility into co-worker data usage and bookmarksDisplay of common queries and dashboards built on tablesIntegration with existing data infrastructure
Pricing Plans
Pricing checked Jul 12, 2026
Open Source
Free
- Automated Metadata
- Less manual documentation
- Intuitive & Pluggable
- Easy to use and to integrate
- Quick Setup
- Runs on Docker, EC2, and Kubernetes
Reviews
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Amundsen FAQ
How does Amundsen improve data discovery for data professionals?
Amundsen enhances data discovery by providing a central hub for data assets, allowing data professionals to quickly find relevant data for their analysis, models, and pipelines. It uses a PageRank-inspired search algorithm and offers automated and curated metadata to provide immediate context.
Which teams benefit most from using Amundsen?
Amundsen is designed to benefit Data Analysts, Data Scientists, Data Engineers, and Software Engineers. It helps analysts and data scientists increase productivity by breaking down data silos, while engineers can reduce interruptions and speed up debugging by centralizing table-related information.
How does Amundsen compare to DataHub regarding metadata management?
Amundsen, like DataHub, serves as an open-source data catalog and metadata engine. Amundsen focuses on enhancing data trust and productivity through features like a PageRank-inspired search algorithm and automated/curated metadata, including descriptions, usage statistics, and data previews.
What kind of metadata does Amundsen provide to users?
Amundsen provides both automated and curated metadata, which includes descriptions, usage statistics, last updated times, and data previews. Users can also update table and column descriptions and view common queries or dashboards built on specific tables.
What are the main trade-offs when implementing Amundsen?
The main trade-offs for Amundsen include the requirement for self-hosting and setup, which demands internal resources. Additionally, integration effort may be needed for specific data sources, and community support is the primary resource for assistance.
Does Amundsen include a free tier?
Amundsen is an open-source product, meaning it is free to use and does not require a paid plan. It is distributed under an Apache License 2.0.
How does Amundsen facilitate collaboration among data professionals?
Amundsen facilitates collaboration by enabling users to share context among co-workers. This includes features where users can update table and column descriptions, and see frequently used or bookmarked data by peers.
Source: amundsen.io