Bring together metadata from databases, BI tools, files, and other data sources into a single, searchable catalog for easy access and discovery.
Automatically extract metadata, relationships, and data flows to build a comprehensive view of your data ecosystem without manual effort.
Add descriptions, context, and relationships to all data assets, so teams can quickly understand and use the information.
Allow everyone to share their observations about data assets and accumulate valuable knowledge in one place.
See how data moves across systems and transformations. Track dependencies and relationships to quickly identify downstream impacts and ensure data accuracy.
Organize all your data assets in a single, searchable repository, making it easy for teams to search, find, and understand information.
Easily locate the data you need, no matter the source, saving time and boosting productivity across teams.
Capture the insights and context that live in team members’ heads, ensuring critical knowledge isn’t lost when employees leave or move roles.
Provide AI and ML teams with well-documented, centralized, and contextualized metadata, including data lineage, classifications, and quality metrics, so models are built on trusted data and insights are more reliable.
Allow data analysts, data scientists, and business users to focus on getting insights from data instead of searching for it.
New team members quickly get up to speed with accessible, well-documented metadata, improving efficiency and reducing errors.
Consolidate metadata from databases, BI tools, files, and other sources into a single, searchable catalog.
Automatically capture metadata, relationships, and data flows to build a comprehensive view without manual effort.
Connect to databases, cloud storage, BI tools, and ETL platforms to unify your metadata ecosystem.
Quickly find and explore the data you need, with a searchable catalog that surfaces relevant assets across all your sources.
Track how data moves across systems, transformations, and reports to understand dependencies and impacts.
Monitor data quality metrics, validation results, and anomalies to ensure reliable, trustworthy data.
Enable teams to annotate, comment, and share insights about data assets to capture tribal knowledge.
Track ownership, stewardship, and lineage to meet internal policies and external regulations.
Label sensitive or critical data and track regulatory or compliance requirements.
Founder
Explore Dataedo through a preconfigured data catalog with sample data, try it with your own data during a 14-day free trial, or book a demo.