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Everything you need to know about the new Gartner Magic Quadrant for Data & Analytics Governance

The 2025 Gartner Magic Quadrant for Data and Analytics is here!

Produced by Gartner - leading market research, guidance, and tool provider - the Magic Quadrant provides valuable insights on vendor selection for businesses pursuing data governance initiatives.

2025 marks the first Gartner Magic Quadrant for data and analytics governance. The report defines the market, outlines vendor evaluation criteria, and highlights essential capabilities to guide businesses toward successful data governance implementation.

Keep reading to better understand this new Gartner Magic Quadrant category, its importance and recognition, and what sets DataGalaxy apart as a selected participating vendor.

What is Gartner Magic Quadrant for Data and Analytics Governance?

The Gartner Magic Quadrant for Data and Analytics Governance Platforms is a research report that evaluates and positions technology providers based on their ability to execute and the completeness of their vision in the data and analytics governance market.

This inaugural report, published in January 2025, reflects the growing importance of data governance as organizations increasingly rely on data-driven decision-making and advanced analytics.

Since Data and Analytics Governance is a new category in Gartner’s Magic Quadrant, it's important to understand how the Gartner teams approach the industry, their perspective, and how they define vendors' roles.


According to Gartner, the market definition of a data & analytics governance platform is:

"... a set of integrated business and technology capabilities that help business leaders and users to develop and deploy a diverse set of governance policies and monitor and enforce those policies across their organizations’ business systems. These platforms are unique from data management in that data management focuses on policy execution, whereas these platforms are used primarily by business roles — not only or even specifically IT roles."


For organizations seeking to enhance their data governance strategies, the Gartner Magic Quadrant for Data and Analytics Governance Platforms serves as a valuable resource to understand the strengths and cautions of various vendors in this evolving market.

Understanding the market value of the Gartner Magic Quadrant

The creation of the Data and Analytics Governance Magic Quadrant signals the emergence of data governance as a standalone priority for businesses.

As data complexity grows, siloed governance solutions no longer suffice, and Gartner’s report emphasizes the need for platforms that provide seamless integration, scalability, and automation to meet modern governance demands.

Tools and services listed in the Gartner Magic Quadrant are scored based on a scale of how innovative, consolidated, strategic, and complete they are. To be considered on the Magic Quadrant for Data and Analytics Governance, platforms must offer:

  • Access management
  • Active metadata
  • Business glossary
  • Connectivity/integration
  • Data catalog
  • Data classification
  • Data dictionary
  • Data lineage
  • Impact analysis
  • Matching, linking, and merging
  • Model management
  • Orchestration/automation
  • Organization and role models
  • Profiling
  • Rule management
  • Security (on the platform itself)
  • Tag management
  • Task management
  • User interface
  • Workflow management

What was evaluated in the Magic Quadrant for Data and Analytics Governance?

Gartner's Magic Quadrant Reports define must-haves and standard capabilities for their specific field to help businesses select well-equipped vendors for their various needs.

In this Magic Quadrant for Data and Analytics Governance, Gartner assessed vendors across four categories:

Niche Players

Vendors focusing on specific segments

Visionaries

Vendors with innovative approaches

Challengers

Vendors that execute well but may lack a complete vision

Leaders

Vendors with a strong ability to execute and a comprehensive vision

Vendors who are considered by Gartner as a fit in one of these four categories must also provide many critical capabilities as defined by Gartner. These include the capability of the vendor’s tools to:

  • Operationalize, serve, and automate the work of the governance board and data and analytics stewards in policy setting
  • Provide active metadata management
  • Operate a business glossary, data catalog, data dictionary, data lineage, impact analysis, and more
  • Provide a secure platform for all users that ensures data security and integrity

DataGalaxy’s positioning in the Gartner Magic Quadrant for Data & Analytics Governance Platforms

DataGalaxy is proud to announce its breakthrough and be among the first companies to be recognized in Gartner’s Magic Quadrant for Data & Analytics Governance Platforms, a milestone that reflects our commitment to innovation and excellence.

As a trusted global player, DataGalaxy continues to deliver on our promise: Transforming the most significant governance challenge - user adoption - into a competitive advantage.

With our rapid growth in the U.S. market - over 300% in 2024 alone - DataGalaxy is reshaping how organizations of all sizes and industries approach data and analytics governance. Our platform empowers teams to easily navigate governance complexities, fostering adoption at every level of the organization.


In general, it takes an average of seven years for a company to appear on a Gartner Magic Quadrant. DataGalaxy was featured after only two!

The Gartner Magic Quadrant for Data and Analytics Governance featuring DataGalaxy

Some of the highlights Gartner mentioned about DataGalaxy for data and analytics governance include:

Ease of use

DataGalaxy’s product interface for setting, enforcing, and observing policies is simple and intuitive. It works alongside a web browser extension and integrates with common enterprise collaboration tools (Slack and Teams) to make governance tasks part of business workflows.

Workflow management

DataGalaxy enables collaborative governance workflow design and management through its no-code, flexible Campaign module, which supports a variety of stewardship tasks, including bulk data certification, glossary validation, and quality remediation.

Data modeling

The platform provides an extendable OOTB metadata model, which is further supplemented by Data Knowledge Studio (DKS). This allows users to represent data and its context in a single diagram, which helps with interactive collaborative data modeling between data architects, data product managers, and governance and engineering teams.

Download the Gartner Magic Quadrant for Data and Analytics Governance

The latest Gartner Magic Quadrant for Data & Analytics Governance Platforms is your guide to understanding the platforms leading the future of governance. By accessing this comprehensive evaluation, you will:

  • Explore market trends: Gain clarity on the evolving landscape of data & analytics governance
  • Evaluate key governance capabilities: Discover what sets leading solutions apart in usability, scalability, and innovation
  • Learn about DataGalaxy: Understand why we’re recognized as a niche leader with a unique, user-centric approach to solving governance challenges for enterprises of all industries

Get your complimentary copy of the Gartner Magic Quadrant for Data and Analytics Governance Report!

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