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Amundsen

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Open-source data discovery and metadata engine for enhanced data trust and productivity.

Free, no paid tier
Free Data & Databases Developer Tools Documentation
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Tracked since 2026

The Bottom Line

Price
Free, no paid tier. Compare plans

Key facts

  • 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.

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

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.
Data compiled by Toolradar Pricing checked · How we evaluate
Source amundsen.io

Preview

Key Features

  • PageRank-inspired search algorithm for data discovery
  • Automated metadata collection (descriptions, statistics, usage)
  • Curated metadata editing (table/column descriptions)
  • Data preview functionality (if permitted)
  • Link ETL jobs and code to data assets
  • Visibility into co-worker data usage and bookmarks
  • Display of common queries and dashboards built on tables
  • Integration with existing data infrastructure

Pricing Plans

Pricing checked Oct 2, 2026. Source: amundsen.io, read Oct 2, 2026

Amundsen plans and prices, checked October 2026
Plan Price Details
Open Source

Free

  • Automated Metadata
  • Less manual documentation
  • Intuitive & Pluggable
+3 more
  • Easy to use and to integrate
  • Quick Setup
  • Runs on Docker, EC2, and Kubernetes
View full pricing

Is Amundsen worth the price?

Great value

Amundsen is an open-source project, making its 'Open Source' tier completely free.

This is incredibly generous, as users get a full-featured data discovery and metadata engine without any direct cost. It's best for organizations with the technical resources to self-host and maintain the solution.

Hidden Costs & Gotchas

Requires internal engineering resources for setup and maintenance.

Full Amundsen pricing: every plan, hidden costs and alternatives

Amundsen by the numbers

Amundsen compared with 176 Documentation tools on Toolradar, as of Oct 2026
Metric Amundsen Peer median Position (1 is best)
Free plan Yes 77% have one n/a
Listed as an alternative to 6 tools 2 #38 of 176 (joint)
Integrations listed 1 2 #24 of 32 (joint) tools with at least one integration recorded

Each position is counted among the tools that have data for that row, as noted under it. All Documentation data · How we compute this. Advertising and placement fees are not inputs to any position.

Cite this: Toolradar, “Amundsen by the numbers”, Oct 2026.

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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

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