Data catalogs & discovery · Amundsen community (Linux Foundation AI & Data)
Amundsen
Open-source, search-first data discovery catalog originally built at Lyft; development has slowed significantly since 2024.
Amundsen is an open-source data discovery tool originally built at Lyft and donated to the Linux Foundation AI & Data in 2020. It centers on a search-first UI, similar to a web search engine, that indexes tables, dashboards and people so analysts can find and understand data assets and see who else uses them, with popularity-based ranking to surface commonly used datasets. It uses a pluggable architecture with Neo4j or Atlas as the metadata store and Elasticsearch for search. Amundsen is self-hosted only, with no managed cloud offering. Practitioners evaluating it today should note that project activity has slowed markedly since 2024, with infrequent releases and commits, so teams wanting active long-term support increasingly look to actively maintained alternatives such as DataHub or OpenMetadata.
At a glance
| Vendor | Amundsen community (Linux Foundation AI & Data) |
|---|---|
| Pricing model | Open source + paid options |
| Free tier | Yes |
| Deployment | Self-hosted |
| Open source | Yes (Apache-2.0) |
| Best for | Teams wanting a lightweight, self-hosted discovery UI who can tolerate a slow-moving open-source project. |
Pricing
Free, self-hosted open-source project; no commercial or managed offering.
Pricing has not been verified yet — see the vendor's site.
Features
- Search-first data discovery UI
- Table and dashboard metadata browsing
- Popularity-based search ranking
- Lineage visualization via pluggable backend
- Ownership and usage tracking
- Slack-based data request workflow
- Pluggable metadata and search backends
Integrations
Profile last reviewed September 21, 2026