Guide

Microsoft Purview and Microsoft Fabric: When You Need Both, When You Don’t

About the guide

Microsoft Fabric already includes native data governance capabilities. Microsoft Purview goes further, but only delivers value when your organization is ready for it.
Many companies deploy Purview too early or too broadly. The typical outcome: a populated catalog, zero business adoption, and a project written off as a failed IT initiative. Others postpone it when they could already be gaining measurable value from better data ownership, consistent business definitions, and traceable data lineage.

This guide by Martin Bergner, DG & MDM Solution Architect at Adastra, gives you a clear, decision-ready framework. It covers when Microsoft Fabric governance is sufficient, what signals indicate Purview is worth adding, and how to avoid the most common and most costly implementation mistake.

What you will find in this guide

  • How Microsoft Fabric and Microsoft Purview differ in their approach to data governance
  • Specific conditions under which Fabric alone is the right choice
  • Practical signals that show your organization is ready for Purview
  • How to deploy Purview as a controlled pilot rather than a broad governance program
  • Red flags that indicate Purview will fail before it starts
  • A simple decision framework: what do you want your data to look like in 2 to 3 years?

Who this guide is for

This guide is written for data leaders, architects, and IT decision-makers evaluating Microsoft data governance tooling, particularly those already using or planning to adopt Microsoft Fabric who are asking whether Purview belongs in the picture.

Key questions this guide answers

Not necessarily. If your organization treats data primarily as a service, works entirely within Fabric, and governance means access control and security, Fabric’s native capabilities may be sufficient.

When the same KPI has multiple interpretations across teams, when the number of reports grows but trust in the numbers declines, or when your organization is starting to treat data as a product rather than just an output.

Asking “Do we need Purview?” instead of “How do we want to work with data in two to three years?” Tool selection should follow strategy, not precede it.

Adastra has successfully delivered more than 90% of its data governance projects end-to-end. This guide reflects what we have learned across those engagements, including the situations where we recommended clients not to implement Purview yet.

Download the guide and find out where your organization actually stands.

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