Microsoft Purview

Microsoft Purview is a unified data security, governance, and compliance platform from Microsoft, designed for organizations that operate primarily within the Microsoft ecosystem (Azure, Microsoft 365, and Windows).

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Microsoft Purview is a unified data security, governance, and compliance platform from Microsoft, designed for organizations that operate primarily within the Microsoft ecosystem (Azure, Microsoft 365, and Windows). It targets enterprises needing to manage data across on-premises, cloud, and SaaS environments while complying with corporate and regional regulations. The platform bundles capabilities such as data classification, data loss prevention (DLP), insider risk management, eDiscovery, and audit logging into a single pane of glass. It is especially suited for companies already invested in Azure and Microsoft 365, as it natively integrates with those services, offering a unified catalog that scans and maps data assets across SQL Server, Azure Data Lake, Power BI, and other Microsoft sources. For analytics and AI workloads, Purview provides automated discovery, lineage tracking, and access management, with AI-powered investigations to uncover sensitive data risks. The service also includes Copilot, a generative AI assistant that answers natural-language questions about data policies and risks, reducing the need for manual policy lookups.

Purview operates on a consumption-based pricing model, with separate meters for different capabilities. Data Security At Rest Protection is billed per protected asset (e.g., tables, files, resource sets), with costs varying by sensitivity level and data region. Data Governance (Unified Catalog) uses two meters: the number of unique governed assets per day and Data Governance Processing Units (DGPU) per scan run. For example, scanning a 10-TB Azure Data Lake may consume hundreds of DGPUs, each priced at roughly $0.25 per unit in US East. Data Compliance capabilities (e.g., Audit, eDiscovery) are included in Microsoft 365 E5 subscriptions or billed separately as add-ons. The platform also offers pay-as-you-go via Azure, with no upfront commitment, and enterprise agreements through Microsoft 365 E5 or the Microsoft Purview Suite bundle. Pricing details depend on the type of agreement and date of purchase, and actual costs can vary significantly based on region and negotiated discounts.

In the metadata management and data governance market, Purview competes directly with Alation, Collibra, and Atlan. According to Gartner reviews and third-party comparisons, Purview scores highly on integration with Microsoft products and on AI-powered features like Copilot and automated classification. However, it trails Alation and Collibra in multi-cloud support and in ease of use for non-Microsoft data sources (e.g., Snowflake, Databricks, Google BigQuery). Atlan is often cited as more flexible for modern data stacks, while Collibra is preferred for complex regulatory compliance workflows. Purview’s strength lies in its breadth—combining security, governance, and compliance in one product—but its depth in governance alone is less mature than specialist tools. The platform is also heavily dependent on Azure Active Directory and Azure Information Protection, limiting its appeal to organizations with heterogeneous cloud strategies.

The honest trade-offs: Purview requires substantial custom work outside the Azure perimeter. For non-Azure environments (e.g., on-premises Oracle, AWS S3), you must deploy and manage self-hosted integration runtimes, which adds operational overhead and latency. Pricing is opaque—there is no fixed per-user or per-storage tier; instead, costs depend on asset counts, scan frequency, and DGPU consumption, making budget forecasting difficult. The platform’s AI features (Copilot, AI investigations) are still in preview or early GA, with limited documentation on accuracy and false-positive rates. Finally, Purview’s compliance capabilities (e.g., eDiscovery, Audit) are tightly coupled to Microsoft 365, so organizations using Google Workspace or Slack will find limited native support, requiring third-party connectors or manual exports.

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How it works

  1. Unified data security and governance

    Combines data classification, DLP, insider risk management, eDiscovery, and audit logging into a single platform for Microsoft-centric environments.

  2. Automated data catalog and lineage

    Scans over 20 data source types and automatically maps lineage across pipelines, enabling discovery and management of data for analytics and AI.

  3. AI-powered risk investigations

    Uses AI to uncover and mitigate sensitive data risks across the digital estate, reducing manual effort in identifying compliance violations.

  4. Copilot natural-language assistant

    Generative AI that answers natural-language questions about data policies and risks, eliminating the need for manual policy lookups.

  5. Consumption-based pricing model

    Bills per protected asset for data security, per governed asset and DGPU for governance, and includes compliance in M365 E5 or as add-ons.

  6. Native Microsoft ecosystem integration

    Integrates natively with Azure, Microsoft 365, and Power BI, reducing setup time for existing Microsoft customers compared to third-party tools.

  7. Self-hosted integration runtime

    Requires deploying self-hosted runtimes for non-Azure sources like AWS S3 or on-premises Oracle, adding operational overhead outside Azure.

Strengths and trade-offs

Strengths

  • Integrates natively with Azure, Microsoft 365, and Power BI, reducing setup time for existing Microsoft customers by up to 40% compared to third-party tools like Collibra
  • Copilot generative AI assistant provides natural-language guidance, enabling users to query data policies without manual documentation searches
  • Unified catalog scans over 20 data source types (including SQL Server, Azure Data Lake, and Snowflake) and automatically maps lineage across pipelines
  • At Rest Protection pricing is based on protected assets (tables, files, resource sets), allowing granular cost control for sensitive data

Trade-offs

  • Requires substantial custom work outside the Azure perimeter, including deploying self-hosted integration runtimes for non-Azure sources like AWS S3 or on-premises Oracle
  • Pricing details depend on the type of agreement and date of purchase, with no fixed per-user or per-storage tier, making budget forecasting difficult
  • AI-powered investigations and Copilot are still in preview or early GA, with limited public data on accuracy and false-positive rates
  • Compliance capabilities (e.g., eDiscovery, Audit) are tightly coupled to Microsoft 365, offering limited native support for Google Workspace or Slack

Pricing context

Consumption-based: Data Security At Rest Protection billed per protected asset (e.g., tables, files); Data Governance (Unified Catalog) billed on two meters—number of unique governed assets per day and Data Governance Processing Units (DGPU) per scan run (e.g., ~$0.25 per DGPU in US East). Data Compliance capabilities included in Microsoft 365 E5 (~$57/user/month) or available as add-ons. Pay-as-you-go via Azure, with enterprise agreements through Microsoft Purview Suite. Actual costs vary by region, agreement type, and purchase date.

Getting started with Microsoft Purview

  1. Sign up for Purview

    Go to the Azure portal and create a Microsoft Purview account. Choose a subscription, resource group, and region. Select the pricing tier that matches your expected asset count and scan frequency. Complete the setup wizard to provision the account.

  2. Register data sources

    In the Purview Studio, navigate to the Data Map section. Click Register and select your source type (e.g., Azure Data Lake, SQL Server). Provide connection details such as server name, database name, and authentication credentials. For non-Azure sources, deploy a self-hosted integration runtime first.

  3. Configure data classification

    Define classification rules for sensitive data types like PII or financial records. Use built-in classifiers or create custom ones with regular expressions. Assign sensitivity labels from Microsoft 365 Compliance Center to map discovered assets to your data governance policies.

  4. Run a scan and review lineage

    Trigger a full scan on your registered data sources. Monitor scan progress in the Data Map. After completion, open the asset catalog to view discovered tables, files, and their lineage. Verify that lineage correctly shows data flow from source to downstream reports.

  5. Set up data loss prevention

    In the Purview compliance portal, create a DLP policy that applies to sensitive data types. Choose actions like blocking sharing or alerting admins. Test the policy with a sample file containing mock sensitive data. Review policy matches in the Activity Explorer to confirm enforcement.

Frequently Asked Questions

What is Microsoft Purview and what does it do?

Microsoft Purview is a unified data security, governance, and compliance platform for Microsoft-centric organizations. It bundles data classification, data loss prevention, insider risk management, eDiscovery, and audit logging into a single pane of glass, integrating natively with Azure and Microsoft 365.

How does Microsoft Purview pricing work?

Microsoft Purview uses consumption-based pricing. Data Security At Rest Protection is billed per protected asset like tables or files. Data Governance charges per unique governed asset per day and per Data Governance Processing Unit (DGPU) per scan run, with DGPU costs around $0.25 in US East.

What are the main strengths of Microsoft Purview?

Microsoft Purview integrates natively with Azure, Microsoft 365, and Power BI, reducing setup time for existing Microsoft customers. It includes a Copilot generative AI assistant for natural-language policy queries and a unified catalog that scans over 20 data source types with automated lineage mapping.

What are the weaknesses of Microsoft Purview?

Microsoft Purview requires substantial custom work outside Azure, including deploying self-hosted integration runtimes for non-Azure sources like AWS S3 or on-premises Oracle. Pricing is opaque with no fixed tiers, and AI features like Copilot are still in preview with limited accuracy data.

How does Microsoft Purview compare to Collibra and Alation?

Microsoft Purview scores highly on integration with Microsoft products and AI features like Copilot. However, it trails Alation and Collibra in multi-cloud support and ease of use for non-Microsoft data sources such as Snowflake or Google BigQuery. Collibra is preferred for complex compliance workflows.

Does Microsoft Purview support non-Microsoft data sources?

Yes, but with limitations. For non-Azure environments like AWS S3 or on-premises Oracle, you must deploy and manage self-hosted integration runtimes, which adds operational overhead and latency. Native support is strongest for Microsoft sources like SQL Server, Azure Data Lake, and Power BI.

Alternatives

How Microsoft Purview compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

Microsoft Purview

Pricing
Consumption-based: Data Security At Rest Protection billed per protected asset (e.g., tables, files); Data Governance (Unified Catalog) billed on two meters—number of unique governed assets per day and Data Governance Processing Units (DGPU) per scan run (e.g., ~$0.25 per DGPU in US East). Data Compliance capabilities included in Microsoft 365 E5 (~$57/user/month) or available as add-ons. Pay-as-you-go via Azure, with enterprise agreements through Microsoft Purview Suite. Actual costs vary by region, agreement type, and purchase date.
Target
Microsoft Purview is a unified data security, governance, and compliance platform from Microsoft, designed for organizations that operate primarily within the Microsoft ecosystem (Azure, Microsoft
Strength
Integrates natively with Azure, Microsoft 365, and Power BI, reducing setup time for existing Microsoft customers by up to 40% compared to third-party tools like Collibra
Watch for
Requires substantial custom work outside the Azure perimeter, including deploying self-hosted integration runtimes for non-Azure sources like AWS S3 or on-premises Oracle

Informatica

Pricing
Custom/Contact sales; typically $50,000+/year for enterprise suite.
Target
Large enterprises needing broad data management and governance.
Deployment
SaaS, on-premises, hybrid
Strength
Deep integration across data integration, quality, and governance.
Watch for
High cost and slow deployment cycles reported by users.

Collibra

Pricing
Custom/Contact sales; often $100,000+/year for full platform.
Target
Organizations with structured governance programs and stewardship.
Deployment
SaaS, on-premises
Strength
Policy workflows and stewardship at scale.
Watch for
Complex and heavy implementation; steep learning curve.

Alation

Pricing
Custom/Contact sales; typically $50,000+/year.
Target
Teams focused on data discovery and self-service analytics.
Deployment
SaaS, on-premises
Strength
Search-driven catalog and collaboration features.
Watch for
Limited depth in enterprise governance and policy enforcement.

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.microsoft.com
  2. azure.microsoft.com
  3. learn.microsoft.com
  4. www.gartner.com
  5. promethium.ai