Dataedo is a comprehensive data governance and catalog solution designed for mid-sized and data-driven organizations. It centralizes metadata, documents data assets, visualizes data lineage, and supports data quality management. The platform integrates with a wide range of data sources, both cloud and on-premises, enabling organizations to understand, govern, and trust their data. Dataedo is suitable for technical and business users, offering features that balance complexity with usability, and supports deployment on-premises or in the cloud.

Key Features

Centralized Data Catalog A single repository for all metadata and data documentation.

• Catalogs databases, ETLs, BI tools, data lakes, and applications
• Supports 50+ native connectors for seamless integration

Data Lineage Visualization Visualizes the flow and transformation of data.

• Tracks data origin and movement at object and column level
• Enables impact analysis and dependency mapping

Data Quality Management Monitors and enforces data quality standards.

• 150+ built-in data quality rules and custom SQL rule support
• Schedules and automates data quality checks with dashboards

Business Glossary and Collaboration Defines and standardizes business terminology.

• Builds a business glossary linked to data assets
• Promotes consistent understanding across teams

Role-Based Governance and Ownership Supports structured data governance processes.

• Assigns data ownership and manages user roles
• Identifies and highlights key data assets

Flexible Deployment Adapts to various IT environments.

• Deployable on-premises or in public clouds (AWS, Azure)
• Integrates with legacy, hybrid, and modern data stacks

Benefits

Improved Data Trust and Compliance Ensures reliable and compliant data usage.

• Centralizes metadata for auditability and transparency
• Facilitates regulatory compliance and data stewardship

Enhanced Data Understanding and Literacy Empowers both technical and business users.

• Provides clear documentation and lineage for better decision-making
• Reduces misunderstandings with a shared business glossary

Streamlined Data Management Simplifies complex data environments.

• Unifies data assets from multiple sources into a single view
• Automates quality checks and documentation processes