How-to Guides
The How-to Guides will give you a walk through on accomplishing the basic to the most advanced things in OpenMetadata. These step-by-step guides will help get an overview of the features and also help explore the various functionalities.Agentic Metadata Management
Use LLMs and GenAI agents for automation and intelligent data management within OpenMetadata
MCP Server
Enable AI agent communication with metadata to add context and take intelligent and automated action
Features in OpenMetadata
OpenMetadata is a complete package for data teams to break down team silos, share data assets from multiple sources securely, collaborate around reliable data, and build a documentation-first data culture in the organization.
Data Contracts
Formalize agreements that keep data consumers and producers aligned.
Data Discovery
Discover the right data assets to make timely business decisions.
Data Collaboration
Foster data team collaboration to enhance data understanding.
Data Quality & Observability
Trust your data with quality tests & monitor the health of your data systems.
Data Lineage
Trace the path of data across tables, pipelines, and dashboards.
Data Insights
Define KPIs and set goals to proactively hone the data culture of your company.
Data Governance
Enhance your data platform governance using OpenMetadata.
Quick Start Guides
Admin Guide
Admin users can get started with OpenMetadata with just three quick and easy steps & know-it-all with the advanced guides.
Guide for Data Users
Get to know the basics of OpenMetadata and about the data assets that you can explore in the all-in-one platform.
How OpenMetadata helps Data Teams?
OpenMetadata is a complete package for data teams to break down team silos, share data assets from multiple sources securely, collaborate around data, and build a documentation-first data culture in the organization.- Centralized, Single Source of Truth for all your metadata.
- Discover the right assets in time and reduce dependencies.
- Foster Team Collaboration with conversations, tasks, announcements, and alerts in real time.
- Build trust in your data with Data Quality Tests to ensure completeness and accuracy.
- Track your data evolution with end-to-end Data Lineage.
- Secure access to sensitive data by defining Roles and Policies.
- Enhance organizational Data Culture to gain crucial insights to drive innovation.
- Define your Glossary to build a common understanding of terms within your organization.
- Implement Data Governance to maintain data integrity, security, and compliance.