Atlan

Adaptive data governance keeps the rules your AI agents inherit current as your data, tech, and regulations change, so agent answers stay trusted.

An agile data governance model updates policy in short cycles, not one rollout, so rules stay current for people and AI agents alike.

Generate comprehensive business glossaries for your data assets using AI. Transform technical terms into clear, business-friendly definitions. Create consistent data terminology across your organization in minutes.

An AI data catalog now means autonomous context creation, not automated suggestions. See the shift, the architecture, and how to verify it actually works.

Active data governance enforces rules continuously, so the governed context an AI agent inherits stays current with every change to your data.

Data governance platforms gave compliance teams the rules. Atlan is the context layer for AI — giving every agent the same policies, classifications, and access context, automatically, before they act.

Active metadata keeps AI agents working on current, accurate context. Learn how it works, why static metadata fails, and how to activate it.

Join us for the reveal of the first ever native data mesh experience in a data catalog. See all-new data products, domains, and contracts come to life as first-class citizens in Atlan.

The Atlan and SageMaker Unified Studio integration gives AI builders the governed metadata context their agents inherit, so GenAI answers stay trustworthy.

Atlan unveils Data Quality Studio for Databricks, letting teams run business-defined checks in the lakehouse so AI agents stay accurate.

Gartner elevated Atlan from Visionary to Leader in its 2026 D&A Governance Platform Magic Quadrant in just a year, indicating a critical governance reset.

San Francisco, May 8, 2024 — Emerging as a fast-growing force in data and AI governance, Atlan today announced a $105 million Series C funding round, led by GIC, Singapore’s sovereign wealth fund, along with co-investor Meritech Capital, early backers of disruptors like Snowflake and Datadog.

Get a clear breakdown of Alation pricing, key cost factors, hidden fees, and how to estimate an accurate TCO for your enterprise use cases.

Data catalog pricing shapes how widely an AI agent can reach context, so understanding licensing models and hidden costs protects your TCO.

A leader in the Forrester Wave, Atlan activates metadata to create context across your data stack - from warehouse to BI.

Compare Atlan vs Alation on adoption, ease of use, lineage, and ROI. Learn why teams switch to Atlan for faster time to value.

See how Alation, Collibra, and Informatica compare in governance, lineage, automation, and adoption—and which platform fits modern enterprise needs.

This article compares Alation, OpenMetadata, Collibra and Atlan, evaluating them on architecture, data cataloging/search, lineage, quality, pricing, and support.

We are building the context layer that makes AI useful — the infrastructure for Contextual Intelligence, the next frontier of enterprise AI.

The living reference for Atlan’s visual identity — logo, typography, and more. Every page is copyable as clean Markdown for LLMs.

Andrew from our team gives a quick run-through of the key features of Atlan for Snowflake users, including but not limited to - data discovery, data lineage and business glossary.

Follow a guided tour to explore data discovery, column-level lineage, and data governance on Atlan.

The missing context layer for enterprise AI. Atlan gives every AI agent the data graph, business logic, and governance to act on trusted data.