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Atlan

Atlan

AI Data Governance Platform

4.7/5 Rating Paid - Custom pricing Custom enterprise contracts, No transparent public pricing, Premium onboarding may cost extra, Advanced enterprise support tiers
See how Atlan helps enterprise teams build trusted AI-ready data workflows.

Enterprise Technology Specs

Underlying Engine GPT-4o, Azure OpenAI Service, Claude, Gemini
Compliance & Security SOC2 Type II, GDPR
Data Privacy Zero Data Retention
Deployment Time 10–30 minutes

Interface Preview

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Screenshot

Product Demo

The Deep Dive

Atlan feels less like a traditional data catalog and more like an operating system for enterprise data and AI teams. What makes it interesting is how heavily it focuses on “context” instead of just metadata storage. Teams can connect business definitions lineage governance and AI workflows into one shared layer that both humans and AI systems can understand.

The platform shines in large organizations where data lives across dozens of tools and teams struggle with trust visibility or governance. The collaboration experience is cleaner and more modern than many legacy governance platforms which makes adoption easier across technical and business users.

That said Atlan is clearly built for enterprises first. Smaller teams may find the setup process and pricing harder to justify. But for organizations investing seriously in AI governance and metadata operations Atlan positions itself as one of the strongest modern platforms in the category.

Key Capabilities

AI-powered metadata enrichment
Enterprise data catalog
Column-level lineage
Business glossary management
Context layer for AI systems
Automated governance workflows
Data discovery and search
80+ enterprise connectors
Metadata lakehouse architecture
Access control and policy management

Top Use Cases

  • Enterprise data governance
  • AI context management
  • Metadata discovery
  • Data lineage tracking
  • Business glossary creation
  • Data quality collaboration
  • Compliance workflows
  • AI-ready knowledge management
Verified ROI & Case Study

“Atlan reported generating over 690000 AI-powered metadata descriptions across 50+ enterprise customers with 87% rated equal or better than human-written documentation.”

Target Audience

Enterprise data teams Data governance leaders AI platform teams Analytics engineering teams

Strengths

  • Excellent enterprise AI governance
  • Strong metadata automation
  • Modern user experience
  • Deep lineage visibility
  • Scales well for large organizations
  • Strong analyst recognition
  • Wide connector ecosystem
  • Collaborative workflows for teams

Limitations

  • No public pricing transparency
  • Primarily built for enterprise use
  • Setup may require technical teams
  • Advanced governance can feel complex
  • Smaller teams may find it expensive

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Integrates With

Snowflake Databricks Power BI Tableau Looker dbt Fivetran Redshift Slack Microsoft Teams GitHub Airflow

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Frequently Asked Questions

Is Atlan a data catalog tool?

Yes. Atlan functions as a modern enterprise data catalog with governance lineage and collaboration features. It helps teams discover understand and trust business data across multiple systems.

Does Atlan support AI workflows?

Yes. Atlan is heavily focused on enterprise AI use cases. Its context layer architecture helps AI systems access trusted business definitions metadata and governance policies.

Does Atlan offer public pricing?

No. Atlan currently uses custom enterprise pricing and requires contacting sales for a quote. Pricing depends on organization size integrations and deployment requirements.

What companies use Atlan?

Atlan is used by enterprises like Mastercard Nasdaq Dropbox Autodesk and Workday according to the official website. It is mainly designed for large-scale enterprise environments.

Is Atlan secure for enterprise use?

Yes. Atlan supports SOC 2 Type II GDPR HIPAA and enterprise-grade encryption standards. The platform also supports private networking and tenant isolation for security-sensitive organizations.

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