Modern data environments are becoming increasingly complex, distributed, and dynamic, making it difficult for enterprises to maintain consistent governance, visibility, and control across data assets. Despite growing investment in enterprise data initiatives, many organizations still struggle to define and execute effective data catalog strategies. At the same time, rising demand for regulatory compliance, improved discovery capabilities, and AI-ready data is pushing data catalogs beyond passive metadata repositories toward a central role in enterprise data ecosystems.
Modern data catalog platforms are evolving into AI-native, context-aware layers that embed generative AI capabilities for automated documentation, semantic search, and governance assistance. Architectures increasingly incorporate knowledge graph models, queryable metadata layers, and data product constructs to expose lineage, usage, and business context as actionable intelligence. While these advancements improve AI readiness, capabilities such as automated classification and policy enforcement continue to mature and still require governance oversight.
In this report, Everest Group evaluates 19 leading data catalog technology providers and positions them on the Modern Data Catalog Products PEAK Matrix® based on market impact, vision, and capability. The assessment provides a detailed perspective on provider strengths and limitations, helping enterprises navigate the evolving data catalog landscape and make informed platform selection decisions aligned with data maturity and business priorities.
