IBM Watson Knowledge Catalog is an AI-powered data catalog that helps data scientists and analysts to quickly find, curate, categorize, and share...
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Best Waterline Data Catalog Alternatives ranked by AI · updated May 2025
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Waterline Data Catalog offers a self-service data catalog that automates the discovery, governance, and rationalization of data assets across the enterprise.
Price: Contact for pricing
Top 6 Waterline Data Catalog alternatives
Cloudera Navigator is a comprehensive data management and governance solution that provides data discovery, lineage, and metadata management capabilities.
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Informatica Enterprise Data Catalog provides a machine-learning-based data discovery and cataloging solution that enables organizations to achieve a comprehensive understanding of their...
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DataGalaxy is a data catalog and governance platform for organizations that need to document, discover, and manage enterprise data assets. It combines...
Pros
- Combines data cataloging, business glossary, and lineage in one platform
- Strong support for collaborative data stewardship and business-user discovery
- Designed for enterprise data governance programs
Cons
- Enterprise pricing and implementation costs are not publicly listed
- Smaller ecosystem than Collibra, Informatica, or Microsoft Purview
- May require substantial configuration for complex governance operating models
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Alation Data Catalog is a data intelligence platform that helps organizations to discover, understand, and trust their data.
Pros
- Data intelligence platform
- Data governance capabilities
- Collaboration features
Cons
- May require training for full utilization
- Limited customization options
Contact Alation for pricing
Collibra Catalog is a data catalog and governance solution that empowers organizations to find and understand data for better decision-making.
Pros
- Data governance and cataloging
- Data lineage tracking
- Business glossary management
Cons
- Complex implementation process
- Requires dedicated admin for maintenance
Contact Collibra for pricing
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