Stemma provided automated data discovery and cataloging that helped data teams quickly understand their data landscape, improve data trust, and accelerate analytics workflows through intelligent metadata management.
Last updated Mar 8, 2026 by AI Enrichment
Emerging player in data catalog and discovery space before acquisition by Teradata
Stemma was a data discovery and catalog platform founded to help data teams understand, trust, and collaborate around their data assets. The company provided automated metadata management, data lineage tracking, and collaborative features that enabled organizations to build a comprehensive understanding of their data landscape. Stemma's platform integrated with modern data stacks including warehouses like Snowflake and BigQuery, as well as BI tools and orchestration platforms. In August 2022, Stemma was acquired by Teradata, a leading enterprise analytics company. The acquisition was part of Teradata's strategy to enhance its data platform capabilities and expand its presence in the modern data stack ecosystem. Following the acquisition, Stemma's technology and team were integrated into Teradata's broader product portfolio, with the distinct Stemma brand and standalone product ceasing to operate independently. Prior to its acquisition, Stemma had positioned itself as a modern alternative to traditional data catalog solutions, emphasizing ease of use, automation, and integration with cloud-native data infrastructure. The company served data-driven organizations looking to improve data discovery, governance, and collaboration across their teams.
Automated data discovery and cataloging across the modern data stack
Automated tracking of data flow and transformations across systems
Centralized metadata collection and management from multiple data sources
Features enabling data teams to document, discuss, and share knowledge about data assets