Replace the catalog and governance
platform nobody uses. Finally.
The only marketplace the whole organization actually uses: conversational search,
role-personalized results, and governance that never gets in the way.
Trusted by AI-forward enterprises
"The UI was so intuitive that even first-time users could search, navigate and find what they needed. Within the first year after that we cataloged over 18 million assets, defined more than 1,300 glossary terms, and we are tackling new use cases every quarter."
Kiran Panja
MD, Cloud & Data Engineering, CME Group
"The UI was so intuitive that even first-time users could search, navigate and find what they needed. Within the first year after that we cataloged over 18 million assets, defined more than 1,300 glossary terms, and we are tackling new use cases every quarter."
Kiran Panja
MD, Cloud & Data Engineering, CME Group
Ask your question, get your answer, access your data. Personal, governed, instant.
Struggling to drive adoption? Never again.
Traditional catalogs were built for data teams, not the rest of the organization. Clunky search, jargon-heavy interfaces, no trust signals. Atlan works the other way around: plain-English search, role-personalized results, and embedded in Slack and Teams.
Ask AI›What's our most trusted churn dataset?
The policy layer that never sleeps, so you can.
The average access request takes two weeks. Not because the data is sensitive, but because nobody knows the policy. Atlan attaches policies directly to assets, enforces access automatically, and never slows anyone down.
Ask AI›Policies on customer_transactions
Built from the ground up for AI-first workflows.
Your engineers are already in Claude and Copilot. Your stewards are in ChatGPT. Atlan's MCP server connects them to your data estate, so every AI workflow runs on accurate, governed context.
ClaudeMCP Connected
The only leader across every major catalog and governance report.
Everything you need to know about
Atlan's Data Marketplace
A data catalog is built for data teams to organize and manage assets. A data marketplace is built for the entire organization to discover, trust, and access data products. The difference is the audience: a catalog is a management tool; a marketplace is a self-service storefront. Atlan's data marketplace includes the catalog layer underneath, so data teams manage assets and everyone else finds what they need without needing to understand how the catalog works.
A data product in Atlan is a curated, certified package of data assets (tables, dashboards, metrics, models) combined with trust signals, ownership, lineage, and access controls. Producers publish data products once. Consumers browse, evaluate, and request access in one step. Data products are the unit of exchange in Atlan's marketplace: discoverable by role and domain, governed by policy, and trustworthy by design.
Atlan personalizes the marketplace experience by role and domain. A data analyst and a business user see completely different views of the same data estate, each surfacing the data products that matter to them. Conversational search means users don't need to know table names or catalog conventions. Slack and Teams integrations bring discovery into the tools people already use. The result: first-time users navigate and find what they need without training.
Policies in Atlan are attached directly to data assets: classification-driven, domain-aware, and enforced at the point of discovery. When a user requests access to a data product, the request routes through Atlan's workflow engine (or Jira and ServiceNow for enterprise IT teams) and provisions access automatically via Immuta in Snowflake or Databricks. No manual steps. No tickets sitting in a queue for two weeks.
Atlan's MCP (Model Context Protocol) server exposes the full metadata layer to any AI agent or coding assistant that supports MCP: lineage, ownership, classifications, data products, and policies. Engineers working in Cursor, Copilot, or Claude can query Atlan's marketplace directly from their IDE. Stewards can use ChatGPT or Claude to automate documentation and glossary maintenance at scale. The marketplace becomes the shared context layer for both humans and AI.
Atlan connects to 200+ data tools, including Snowflake, Databricks, dbt, Looker, Tableau, BigQuery, Redshift, Fivetran, and Airflow. Access provisioning integrates with Immuta for zero-touch enforcement. Workflow integrations with Jira and ServiceNow handle enterprise IT approval chains. Slack and Microsoft Teams bring discovery to where teams already work. All connections are bidirectional: metadata flows in, governance signals flow out.
Yes. Atlan is designed to replace legacy catalogs that teams don't use. The metadata management layer moves to Atlan, and the self-service marketplace is what your broader organization gets on top. For organizations migrating from legacy tools, Atlan deployments typically go live within weeks, and adoption metrics like active users, views, and access requests become visible within the first quarter.
Replace the catalog and
governance platform nobody
uses. Finally.
