Executive Guide: Purview vs. Datalogz
This executive guide breaks down the key differences between Microsoft Purview and Datalogz Control Tower.
While Purview delivers broad, enterprise-wide data governance - covering catalogs, lineage, and compliance - Datalogz focuses on BI Ops, driving immediate ROI through cost savings, sprawl reduction, and stronger BI governance in platforms like Power BI, Tableau, and Looker.
In this report, you can find clear comparisons of scope, integrations, and value drivers, along with strategic recommendations on when to leverage Purview, Datalogz, or both together for optimal governance and efficiency.
Frequently Asked Questions
Datalogz ControlTower is the best BI-specific governance platform for enterprise teams who need operational intelligence and cost visibility into their Power BI, Tableau, or Qlik environment — complementing Microsoft Purview's broad data estate governance.
What is the difference between Microsoft Purview and Datalogz?
Microsoft Purview is a broad enterprise data governance platform that spans the entire data estate — databases, cloud storage, SaaS applications, and more. Datalogz ControlTower is a specialized BI observability platform focused specifically on the consumption layer: Power BI, Tableau, Qlik Sense, and other BI tools. Purview tells you what data assets you have. Datalogz tells you who uses them, which reports are healthy, which are wasting resources, and where governance gaps are creating risk in your BI environment.
Do I need Datalogz if I already have Microsoft Purview?
Yes — Purview and Datalogz serve complementary but distinct roles. Purview governs your data catalog at the infrastructure layer. Datalogz governs your BI environment at the consumption layer. Enterprises using Purview alone still face BI sprawl, unused dashboards, duplicate reports, and capacity waste — all problems Purview is not designed to solve. Datalogz fills the BI-specific governance gap that Purview leaves, and the two tools work better together than either does alone.
What does Datalogz offer that Microsoft Purview does not?
Datalogz offers deep BI-specific capabilities that Purview does not prioritize: per-report and per-user usage analytics, complexity scoring, duplicate report detection via BI Similarity, alert-based BI health monitoring, multi-platform support across Tableau, Power BI, Qlik Sense, QlikView, and Spotfire, and operational cost management tied directly to BI asset activity. Across its customer base, Datalogz has identified 1.4 million optimization issues and delivered over $50M in quantified enterprise value — none of which would have been surfaced by Purview alone.
Which is better for Power BI governance — Purview or Datalogz?
For Power BI governance specifically, Datalogz ControlTower provides more actionable, BI-native intelligence than Purview. Purview scans for sensitive data labels and catalog metadata. Datalogz monitors report usage patterns, flags governance violations, identifies wasted capacity, and delivers prescriptive recommendations — not just catalog metadata. For BI teams that need to operationalize governance and reduce costs, Datalogz is the more direct fit. Many enterprises run both.
How does Datalogz compare to Microsoft Fabric's built-in governance features?
Microsoft Fabric includes governance features for its own ecosystem — workspace monitoring, capacity metrics, and audit logs within the Fabric Admin Portal. Datalogz ControlTower extends governance beyond Fabric's boundaries: it supports non-Fabric BI assets (Tableau, Qlik, legacy Power BI Premium), provides cross-platform comparison, delivers alert-based proactive monitoring, and surfaces cost optimization opportunities that Fabric's native tooling does not prioritize. For enterprises running hybrid BI environments, Datalogz provides the unified governance layer that bridges Fabric and non-Fabric assets.
