Amundsen
- Company typePrivate
- Founded-
- Headquarters—
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Amundsen does
Amundsen is an open-source data discovery and metadata catalog platform designed to help organizations locate, understand, and trust their data assets. Functionally, it operates as a data catalog enabling data teams to document, search, and navigate data across the enterprise, with the stated objective of addressing data quality challenges spanning testing, cleansing, observability, governance, and remediation. Its core technology is described as an open-source metadata engine for data discovery, positioned alongside both commercial and open-source peers including Atlan, Collibra, Apache Atlas, Tamr, Great Expectations, dbt, Trifacta, and Metaplane, with a differentiator framed as domain specialization in data discovery.
The platform targets a horizontal segment of data-driven organizations whose primary pain points are data quality and discovery, with an explicit positioning extension toward enabling generative AI adoption by ensuring reliable underlying data. No pricing model, revenue mechanics, go-to-motion specifics, named customers, headcount, or funding history are disclosed in the available source material; the website (amundsen.io) is the primary public surface, and source documentation references a single industry categorization source. The absence of commercial signal — combined with open-source framing — indicates a project- or community-led entity rather than a venture-backed commercial vendor, with no evidence of a paid tier, professional services, or managed offering.
Amundsen firmographics
Firmographics- Name
- Amundsen
- Website
- https://amundsen.io
- Company type
- Private
- Ownership category
- akta.pro rank
Amundsen business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure
Amundsen product offering
Product offeringCore offering
Amundsen is an open-source data discovery and metadata catalog platform that helps organizations locate, document, understand, and trust their data assets. It enables data teams to search and navigate data across the enterprise, serving as a foundational metadata layer for data quality, testing, observability, governance, and remediation workflows.
Product overview
Amundsen is a data discovery and metadata platform designed to help organizations find, understand, and trust their data assets. It functions as a data catalog that enables data teams to document, search, and navigate data across the enterprise.
Differentiator
Problem solved
Functional benefit
Products and services
- Amundsen Data Discovery and Metadata Platform An open-source data discovery and metadata catalog platform that enables data teams to document, search, navigate, and trust data assets across the enterprise. Functions as a foundational metadata layer supporting data quality, testing, cleansing, observability, governance, and remediation use cases. Targeted at data-driven organizations building out enterprise data quality and governance programs.
Companies that use Amundsen
Customer profileSegments1 record
Ideal customer profiles1 record
Amundsen technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature1 record
Amundsen partnerships and signals
Strategic signalExpansion highlights2 records
Amundsen competitors and assessment
Company assessmentEmerging players
- Tamr: Tamr is a data mastering and quality platform that is explicitly listed alongside Amundsen in the data quality tools category. It overlaps in helping organizations find, understand, and trust enterprise data assets, particularly through master data unification.
- Metaplane: Metaplane is a data observability platform that is explicitly listed alongside Amundsen in the data quality tools category. It addresses a related but narrower use case (monitoring and alerting) within the same broader data trust workflow.
- Great Expectations: Great Expectations is an open-source data quality and testing framework listed alongside Amundsen in the same data quality tools category. It overlaps in the data trust and documentation use cases even though its core focus is testing rather than catalog.
- Monte Carlo: Monte Carlo is a data observability vendor that addresses data reliability and trust, complementing the discovery and catalog capabilities Amundsen provides. Customers often evaluate observability and catalog tools together as part of a broader data quality strategy.
Direct peers
- Apache Atlas: Apache Atlas is an open-source metadata and governance framework within the Hadoop ecosystem. It is explicitly listed alongside Amundsen in the data quality tools category and addresses the same discovery and governance use cases.
- Atlan: Atlan is a modern data catalog and collaboration platform that helps organizations discover, govern, and trust their data assets. It is the most direct competitor to Amundsen and is explicitly listed alongside it in the same data quality tools category.
- Alation: Alation is a leading data catalog platform focused on search, discovery, and governance of enterprise data assets. It targets the same primary use case as Amundsen (data discovery) and competes in the same procurement cycles.
- DataHub: DataHub is an open-source metadata platform (originated at LinkedIn) for data discovery, observability, and governance. It is the closest open-source analog to Amundsen and competes for the same OSS-first catalog mindshare.
Others
- dbt Labs: dbt Labs (with dbt Tests) is explicitly listed alongside Amundsen in the data quality tools category and is widely deployed for data transformation. While not a direct catalog competitor, dbt's documentation and lineage features increasingly overlap with catalog functionality.
Broad incumbents
- Collibra: Collibra is an established enterprise data intelligence and governance platform offering cataloging, lineage, and stewardship at scale. It is explicitly listed alongside Amundsen in the data quality tools category and represents a much larger, well-funded incumbent.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks4 records
Key highlights5 records
Customer concentration
Amundsen social profiles
Digital presenceAmundsen financial estimates
Financial estimateRevenue estimate
Valuation estimate
Amundsen leadership team
Management profileNumber of profiles
Amundsen funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Amundsen M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Amundsen
What does Amundsen do?
Amundsen is an open-source data discovery and metadata catalog platform that helps organizations locate, document, understand, and trust their data assets. It enables data teams to search and navigate data across the enterprise, serving as a foundational metadata layer for data quality, testing, observability, governance, and remediation workflows.
When was Amundsen founded?
Amundsen was founded in -1.
Who are Amundsen's main competitors?
Emerging players on record are Tamr, Metaplane, Great Expectations and Monte Carlo. Direct peers are Apache Atlas, Atlan, Alation and DataHub. dbt Labs is listed as an others. Collibra is listed as a broad incumbent.
Does Amundsen have an API?
No public API is recorded for Amundsen.