Atlan
Simplify enterprise data governance and discovery with AI-powered automation
Overview
Atlan is a modern data catalog platform that helps organizations manage their data assets like a pro. It combines metadata management with collaboration tools and AI automation to help teams find trusted data, maintain compliance, and streamline governance workflows.
Key Features
Active Governance
Automate policy enforcement and access controls with AI-driven workflows
Column-Level Lineage
Track data flow at column level for accurate impact analysis
Embedded Collaboration
Discuss data directly in context with Slack/MS Teams integrations
Open APIs
Connect to any tech stack with extensible architecture
AI Automation
Auto-document assets and suggest governance rules using AI
Use Cases
Set up enterprise governance programs
Perform impact analysis for migrations
Automate compliance documentation
Discover trusted datasets across systems
Collaborate on data quality issues
Pros & Cons
Pros
- AI-driven automation reduces manual documentation work
- Granular column-level lineage tracking
- Enterprise-ready access controls and permissions
- Strong focus on team collaboration features
Cons
- Primarily targets enterprise teams (overkill for small businesses)
- Requires technical setup for custom integrations
- Learning curve for non-technical users
Frequently Asked Questions
How does Atlan differ from traditional data catalogs?
Atlan combines AI-powered automation with active metadata management and embedded collaboration tools, designed for modern data teams working with cloud architectures.
What technical requirements are needed?
Atlan offers no-code setup options but works best with technical teams familiar with APIs and cloud data platforms.
Can it handle sensitive data compliance?
Yes, offers granular access controls, PII tagging automation, and audit trails for regulations like GDPR.
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