Alation has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Metadata Management Solutions. This marks the fifth time Alation has been recognized as a Leader, following previous recognition from 2017 through 2020.

Alation is a five-time leader in the Gartner metadata management magic quadrant

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A Five-Time Leader: Alation Recognized in the 2025 Gartner® Magic Quadrant™ for Metadata Management Solutions

In a world awash in headlines warning of AI-driven layoffs, a more hopeful narrative is quietly unfolding. While companies are automating repetitive tasks, many are actually struggling to hire fast enough for AI-related roles. AI isn’t simply eliminating jobs—it’s transforming them and creating entirely new ones.

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Agentic Goes Enterprise: What Hiring Trends Reveal About The Next Wave Of AI Adoption

When Deepesh Chourey, SVP of Engineering at Alation, took the stage at revAlation Chicago, he opened with a confession: "Our job is to generate outcomes, instead of releasing product and features."

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Metadata as AI Superpower: Our Vision For Agentic Data Management

Alation’s 2025 revAlation global conference series spanned three continents—with stops in Chicago, Sydney, and finally London on November 12—bringing together hundreds of data and AI leaders from around the world. Across these events, one theme echoed in every conversation: the future of business belongs to those who turn trusted data into action.

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How Daimler Trucks North America, Commonwealth Bank of Australia, and Marks & Spencer Became Alation’s 2025 Data Radicals Award Winners

Today’s data teams live across multiple platforms. Business context lives in Alation—where organizations capture trusted definitions, document data assets, and curate metadata that fuels accurate analysis and responsible AI.As Databricks becomes a primary workspace for data engineers, analysts, and AI builders, extending that business context into this environment ensures a consistent understanding wherever work happens.

How to Enrich Databricks Unity Catalog with Alation Metadata


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How to Enrich Databricks Unity Catalog with Alation Metadata

The context problem with enterprise AI agents

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Building Enterprise AI Agents on Databricks? You Need Alation's Context Layer

In 2026, as organizations accelerate AI adoption and embrace increasingly complex data ecosystems, data access governance (DAG) has become a cornerstone of responsible data management. A strong DAG framework ensures that sensitive data stays protected — without slowing innovation.

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What is Data Access Governance? Best Practices and Implementation in 2026

Enterprises are pushing AI into real business processes—and regulators and boards are watching. Per Gartner, only 42% of data and analytics leaders believe their organizations have the right data governance framework in place to support business goals. Small wonder, then, that the firm warns that by 2027, 80% of data and analytics governance initiatives will fail if they aren't tied to prioritized business outcomes, underscoring the need to anchor governance in real use cases, not theory. 

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Top 7 Data Governance Use Cases with Examples and Pro Tips

Data powers every modern enterprise. Yet as data volumes, sources, and use cases multiply, so do the challenges of managing it effectively. Studies show that cloud-native architectures now dominate—with 71% of organizations deploying them—and businesses leveraging cloud-based data pipelines are realizing 3.7× ROI and significant performance gains.

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Building Data Pipelines: Everything You Need to Know in 2026

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 Senior Product Marketing Manager

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From Prototype to Production: Introducing the Alation Agent Builder

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A Five-Time Leader: Alation Recognized in the 2025 Gartner^® Magic Quadrant^™ for Metadata Management Solutions

From Prototype to Production: Introducing the Alation Agent Builder

Introducing Alation CDE Manager: Stop Drowning in Data Governance Busywork

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