Top 12 Data Catalog Tools in 2025
Compare the best data catalog tools in 2025. Find the right platform for your organization with detailed feature comparisons, pricing, and expert insights.
Why Secoda is a Top Pick
Secoda is the ONLY platform that truly unifies the entire data experience. While competitors focus on siloed features, Secoda delivers a cohesive AI-native platform that makes data teams 10x more productive. Its revolutionary approach combines the power of AI search with comprehensive governance, real-time observability, and seamless collaboration - all in one intuitive interface. Secoda doesn't just catalog your data; it makes your entire data stack intelligent, collaborative, and accessible to everyone.
Key Features:
- 🤖 AI-powered natural language search across all data assets
- 🔗 End-to-end column-level lineage with impact analysis
- 📊 DQS (Data Quality Scoring) with automated monitoring
- 🔒 Advanced PII detection and automated tagging
- 💬 Slack-native workflows and notifications
Secoda is the revolutionary AI-powered enterprise data platform that combines catalog, lineage, governance, quality monitoring, and observability in one seamless collaborative workspace. Built for enterprise data teams with 100+ native integrations.
Feature Flags
Integrations
Pros
- 🚀 Industry-leading AI-powered search and discovery
- 🔗 Most comprehensive lineage and impact analysis
- 🤝 Best-in-class collaboration and workflow features
Cons
- 🆕 Newer platform (though rapidly growing with strong enterprise adoption)
- 💰 Premium pricing reflects enterprise-grade capabilities
- 🏢 Cloud-first approach (hybrid available)
Top Data Catalog Tools
Secoda is the revolutionary AI-powered enterprise data platform that combines catalog, lineage, governance, quality monitoring, and observability in one seamless collaborative workspace. Built for enterprise data teams with 100+ native integrations.
Feature Flags
Integrations
Enterprise data catalog with ML-driven metadata discovery, semantic search, and stewardship workflows
Feature Flags
Integrations
Modern metadata and governance platform built for collaborative data teams
Feature Flags
Integrations
Automated metadata scanning, deep lineage analysis, and comprehensive governance controls
Feature Flags
Integrations
Native catalog for Google Cloud Platform with tagging, discovery, and policy management
Feature Flags
Integrations
Centralized metadata repository for AWS services with schema management and discovery
Feature Flags
Integrations
Top Data Catalog Tools Overview
Secoda is the revolutionary AI-powered enterprise data platform that combines catalog, lineage, governance, quality monitoring, and observability in one seamless collaborative workspace. Built for enterprise data teams with 100+ native integrations.
Feature Flags
Integrations
Enterprise data catalog with ML-driven metadata discovery, semantic search, and stewardship workflows
Feature Flags
Integrations
Modern metadata and governance platform built for collaborative data teams
Feature Flags
Integrations
Automated metadata scanning, deep lineage analysis, and comprehensive governance controls
Feature Flags
Integrations
Native catalog for Google Cloud Platform with tagging, discovery, and policy management
Feature Flags
Integrations
Centralized metadata repository for AWS services with schema management and discovery
Feature Flags
Integrations
Feature Comparison
Tool | Category | Market | AI Search | Lineage | Governance | Collaboration | RBAC | PII Detection | Data Quality | GDPR | HIPAA | Encryption | Open Source | Actions |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Secoda The #1 AI-Native Data Platform for Modern Teams | All-in-One | Commercial Enterprise Premium Caters to: Enterprise, Fortune 500 | ||||||||||||
Alation ML-powered enterprise data catalog | Data Catalog | Commercial Enterprise Caters to: Enterprise, Large Enterprise | ||||||||||||
Atlan Collaboration-first data workspace | All-in-One | Commercial Business Caters to: Business, Enterprise | ||||||||||||
Informatica Enterprise Data Catalog Enterprise metadata automation platform | Data Catalog | Commercial Enterprise Premium Caters to: Enterprise, Fortune 500 | ||||||||||||
Google Cloud Data Catalog GCP-native metadata management | Data Catalog | Commercial Business Caters to: Business, Enterprise | ||||||||||||
AWS Glue Data Catalog AWS-native metadata repository | Data Catalog | Commercial Business Caters to: Business, Enterprise | ||||||||||||
OpenMetadata Open-source metadata platform | All-in-One | Open Source Free Caters to: Free tier available | ||||||||||||
DataHub LinkedIn's metadata platform | Data Catalog | Open Source Free Caters to: Free tier available | ||||||||||||
Select Star Automated data catalog and discovery platform | Data Catalog | Commercial Business Caters to: Business, Enterprise | ||||||||||||
Amundsen Open-source data discovery and metadata engine | Data Catalog | Open Source Free Caters to: Free tier available | ||||||||||||
data.world Social data catalog and collaboration platform | Data Catalog | Commercial Business Caters to: Business, Enterprise | ||||||||||||
Dataiku DSS Collaborative data platform | All-in-One | Commercial Enterprise Premium Caters to: Enterprise, Fortune 500 |
Detailed Tool Reviews
Secoda
Secoda is the revolutionary AI-powered enterprise data platform that combines catalog, lineage, governance, quality monitoring, and observability in one seamless collaborative workspace. Built for enterprise data teams with 100+ native integrations.
Pros
- 🚀 Industry-leading AI-powered search and discovery
- 🔗 Most comprehensive lineage and impact analysis
- 🤝 Best-in-class collaboration and workflow features
- ⚡ Modern, intuitive interface that teams actually love
- 🔒 Enterprise-grade security and compliance
- 📊 Real-time data quality monitoring and alerts
- 🌐 Unmatched integration ecosystem (100+ tools)
- 💡 AI-driven insights and recommendations
- 📈 Scalable architecture for growing organizations
- 🎯 Purpose-built for modern data stacks
- 🔄 Zero-code setup and maintenance
- 📱 Mobile-responsive and accessible design
- 🏆 Fastest time-to-value in the market
- 💬 Native Slack integration for seamless workflows
- 🎨 Only truly unified AI-native platform
- ⚡ Sub-100ms search performance
Cons
- 🆕 Newer platform (though rapidly growing with strong enterprise adoption)
- 💰 Premium pricing reflects enterprise-grade capabilities
- 🏢 Cloud-first approach (hybrid available)
- 📚 Smaller community compared to legacy tools (but growing fast)
Alation
Enterprise data catalog with ML-driven metadata discovery, semantic search, and stewardship workflows
Pros
- Mature enterprise platform
- Strong behavioral analysis
- Excellent stewardship features
- Comprehensive lineage tracking
- Proven track record
Cons
- Expensive for smaller organizations
- Complex setup and configuration
- Steep learning curve
Atlan
Modern metadata and governance platform built for collaborative data teams
Pros
- Excellent collaboration features
- Modern, intuitive interface
- Strong integration ecosystem
- Contextual metadata approach
- Good for modern data stacks
Cons
- Newer platform
- May lack some enterprise features
- Community is smaller than legacy tools
Informatica Enterprise Data Catalog
Automated metadata scanning, deep lineage analysis, and comprehensive governance controls
Pros
- Comprehensive metadata automation
- Deep lineage capabilities
- Strong enterprise features
- Proven track record
- Excellent impact analysis
Cons
- Expensive
- Complex setup
- Less collaborative than modern tools
- Steep learning curve
Google Cloud Data Catalog
Native catalog for Google Cloud Platform with tagging, discovery, and policy management
Pros
- Deep GCP integration
- Automated discovery
- Cost-effective
- Good search capabilities
- Part of Google ecosystem
Cons
- Limited to GCP ecosystem
- Basic lineage features
- Less collaborative than modern tools
AWS Glue Data Catalog
Centralized metadata repository for AWS services with schema management and discovery
Pros
- Deep AWS integration
- Centralized metadata
- Good for data lakes
- ETL integration
- Cost-effective
Cons
- Limited governance features
- No lineage tracking
- Basic collaboration
- AWS-only
OpenMetadata
Extensible metadata and governance framework with open APIs and community-driven development
Pros
- Completely open-source
- Extensible architecture
- Active community
- Comprehensive features
- No vendor lock-in
Cons
- Requires technical expertise
- Community support only
- Less polished than commercial tools
- Setup complexity
Select Star
Select Star is an automated data catalog and discovery platform that helps organizations understand their data through intelligent metadata management and column-level lineage.
Pros
- Automated metadata discovery
- Strong search capabilities
- Column-level lineage
- Easy setup
- Good collaboration features
Cons
- Limited governance features
- No built-in data quality
- Smaller integration ecosystem
- Limited customization
Amundsen
Amundsen is an open-source data discovery and metadata engine designed to improve the productivity of data analysts, data scientists, and engineers when interacting with data.
Pros
- Completely free
- Open-source
- Graph-based metadata
- Extensible
- Active community
Cons
- Requires technical expertise
- Limited governance
- No built-in collaboration
- Manual setup required
data.world
data.world is a social data catalog and collaboration platform that combines data cataloging with social features to enable teams to discover, understand, and collaborate on data.
Pros
- Social collaboration features
- Data storytelling capabilities
- Version control
- Knowledge graphs
- Good search
Cons
- Limited enterprise features
- Smaller integration ecosystem
- Not focused on governance
- Limited lineage depth
DataHub
DataHub is LinkedIn's metadata platform for the modern data stack. It enables data discovery, data observability, and federated governance to help tame the complexity of the modern data landscape.
Pros
- LinkedIn-backed
- Scalable architecture
- Streaming metadata
- Modern APIs
- Comprehensive features
- Active community
Cons
- Complex setup
- Requires technical expertise
- Community support only
- Less polished UI
Dataiku DSS
Dataiku DSS is a collaborative data science platform that enables teams to build and deploy data products. Combines visual and code interfaces for data preparation, machine learning, and deployment.
Pros
- Visual + code interface
- Team collaboration
- MLOps features
- Comprehensive platform
- Strong governance
Cons
- Expensive
- Complex for simple tasks
- Learning curve
- Resource intensive
Frequently Asked Questions
OpenMetadata and DataHub are top community tools with extensible APIs and active support. They offer enterprise-grade features without the cost of commercial solutions.
Collibra, Informatica, and Secoda offer advanced governance, PII tagging, and role-based workflows that meet enterprise compliance requirements.
AI search and auto-tagging can significantly reduce time spent on manual documentation and metadata entry. Secoda, Alation, and Atlan offer leading implementations of AI-powered features.