A Data Catalog teams actually use—open, automated, and embedded where work happens
From discovery to governance. Everything your data team needs.
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Ready for anything. From Cloud-native AI to on-premise systems.
Industry leaders work with Atlan
to unlock value from data & AI
Discovery & Catalog"Everyone keeps saying it's like having Google for our data. Starting with column names and descriptions helps users understand what's in our lakes and warehouses—and ask the right questions."
Michael Weiss
Chief Data Architect, Data Platforms and Services
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Data Products"We're defining our Data Governance and Data Product frameworks, and designing, developing, and scaling our data products, all with the use of Atlan."
Courtney Worthy
Data Governance Lead
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Catalog & Lineage"We have Atlan as the metadata plane across our tech stack, independent of where technology is. We have one place to define the data, to understand what it means, and to understand where it comes from."
Oliver Gomes
VP, Analytics & Strategy
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Active Data Governance"Data is key to better customer experiences in the AI era, and Atlan helps us deliver that value. Its open, extensible foundation lets us build apps and govern data from day one."
Ashfaq Mohiuddin
Global VP of Data & AI
Active Data Governance"Until now, threading governance across the enterprise has been difficult. But with Atlan's data products and contracts, we've reached a tipping point—everyone is finally speaking the same language."
Sherri Adame
Data Governance Lead
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Embedded Collaboration"Atlan is the central layer that brings all metadata from data producers to data consumers. Now, our data consumers easily discover and use the data they need."
Mark Kidwell
Chief Data Architect
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Configurable & Adaptive"When we presented it to our users they said, 'This doesn't look too complicated.' And for our team, [Atlan] gave us room to grow and mature as an organization without too many restrictions."
Nestor Jarquin
Global Data & Analytics Lead
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The Ultimate Guide to Evaluating a Data Catalog
Learn how to find, evaluate, and adopt the right data catalog for your organization. This step-by-step guide includes evaluation criteria, customization best practices, and POC checklists.
