Since its official launch in October 2021, Microsoft Purview has become one of the most popular services in Azure. With a wide range of features, it offers a comprehensive solution for managing metadata, scanning and classifying data, enforcing security policies, and facilitating data sharing.

Like any service in Azure, Microsoft Purview comes with associated costs. Understanding its pricing model can be challenging due to its diverse capabilities. In this article, we will break down the pricing structure to help you gain a better understanding of the costs involved.

Indirect Costs

There are several indirect costs associated with using Microsoft Purview:

• Storage: The amount of data stored in Purview’s metadata catalog and repository.
• Event Hubs: The usage of Azure Event Hubs for data ingestion.
• Private Endpoints: The use of private endpoints to secure access to Purview.
• SHIR VM’s: The utilization of SHIR (Scanning, Hunting, and Investigating Repository) virtual machines.

Direct Costs

In addition to the indirect costs, there are direct costs associated with specific features of Microsoft Purview:

• Elastic Data Map (CU): The compute units required for managing and querying metadata.
• Scanning and Classification (compute hours): The compute resources used for deep scanning and classifying data.
• Advanced Resource Sets (compute hours): The compute resources utilized for advanced data management tasks.
• Data Estate Insights – Report Generation and Consumption (compute hours): The compute resources used for generating and consuming data estate insights reports.

Understanding the pricing model for Microsoft Purview is crucial for effectively managing costs. To provide a more detailed breakdown of the pricing structure, we have created a presentation deck that outlines the various cost components and explains which features are mandatory and which are optional.

You can download the Presentation Deck here.

In conclusion, Microsoft Purview offers a powerful set of features for managing and analyzing data in Azure. However, it is important to understand the pricing model to ensure cost-effective usage of the service. If you have any questions or suggestions regarding the pricing model, feel free to leave a comment below. Happy data management!

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