18 data catalog tools to tame your metadata challenges

Organizations face challenges with data sprawl across databases, cloud services, and IoT, complicating data discovery and understanding. As data grows, enterprises struggle with metadata management, compliance, and enabling effective analytics.

Modern data catalog tools address these issues by unifying data views and automating metadata collection. This research examines 18 solutions using AI, machine learning, and NLP to simplify discovery, improve governance, and boost collaboration. Key areas include:

· Automated cataloging across sources
· Integration with governance and compliance
· Lineage tracking, quality monitoring, and workflows

Explore the research to find the right solution.