As of May 2026, there are 30 SaaS companies in Active Metadata Management Software. They have combined revenues of $792.4M and employ 5.4K people. They have raised $1.3B and serve 2K customers combined.
Active Metadata Management Software refers to solutions designed to continuously capture and manage metadata in real time, ensuring that data remains current and relevant across systems. Unlike traditional static metadata, active metadata is dynamic and updates itself as data changes, moves, and is utilized within an organization, which enhances the experience for data users and promotes data governance. Primary use cases for this software include improving data discovery, quality, and compliance, as well as enabling sophisticated data analysis processes. Features often found in these solutions include automated metadata updates, impact analysis, lineage tracking, and collaboration tools that allow cross-functional teams to leverage data more effectively. Typical users of active metadata management tools encompass data analysts, data engineers, IT professionals, and data governance teams, all of whom require efficient access to accurate metadata for their operations.
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Showing 10 of 3 companies ranked by annual revenue.
Belgium
Collibra provides a data intelligence platform that helps organizations manage and utilize their data effectively. The platform offers a range of tools and features to help organizations catalog and govern their data, ensure data quality and accuracy, and enable self-service analytics and reporting.
New York, New York, United States
BigID is a company that specializes in data privacy and protection. Its platform uses advanced machine learning algorithms to help organizations discover, inventory, and manage sensitive and personal data across various data sources, and comply with regulations such as GDPR and CCPA.
Redwood City, California, United States
Alation is a data intelligence platform that helps organizations to find, understand, and use their data effectively. The platform provides a central hub for data discovery, management, and collaboration, enabling teams to access and analyze data across multiple sources and formats. Alation uses machine learning and natural language processing (NLP) to provide automated data governance and curation, including data cataloging, lineage tracking, and metadata management. This helps organizations to improve the accuracy and reliability of their data, and to make more informed and data-driven decisions. The company was founded in 2012 and is headquartered in Redwood City, California. Alation serves a variety of industries, including finance, healthcare, and technology, and has customers such as Pfizer, General Electric, and Munich Re.
- The software must offer real-time updates and management of metadata. - It should provide features for data lineage tracking and impact analysis. - Capabilities for automated metadata governance and quality checks are required. - The product must support integration with various data systems and platforms. - It should enable users to visualize metadata contexts and relationships. - Not just a static metadata repository; must also facilitate dynamic interactions based on current data usage patterns.
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