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Microsoft Purview vs Netwrix

Check differences in scope, deployment and cost. Use the evaluation questions to resolve what the sources leave open.

Read each action with its limits. General capability and environment marks do not establish a specific workflow. Unconfirmed means support was not established in our research.

Capabilities, coverage, deployment, pricing and evaluation questions for Microsoft Purview and Netwrix
CompareMicrosoft PurviewUpdated NetwrixUpdated
ApproachPurview combines Microsoft 365 DLP with endpoint, browser and data-governance capabilities. Coverage, prerequisites and billing differ by workload. A Data Map connector is not evidence of DLP enforcement. [1] [2] [3]Netwrix Data Classification scans file shares, Microsoft 365 and selected SaaS sources. Netwrix Auditor can use its classifications in audit reports. Confirm the licensed products together. [2]
Restrict file sharing in Microsoft 365

DLP policies can restrict access to sensitive SharePoint and OneDrive files for external users or for everyone. [5]

Blocking behavior depends on the rule. Microsoft documents a short guest-access window for the combination of externally shared content and Block everyone. Test the exact condition and action. [5]

This workflow has not been established in our research.

Find sensitive data in S3

Data Map documents automatic classification for Amazon S3. [2]

The S3 connector does not apply sensitivity labels to Data Map assets or data policies. Classification alone does not establish transfer prevention. [2]

This workflow has not been established in our research.

Find sensitive data in BigQuery

The Data Map BigQuery connector provides metadata and lineage. [2]

The connector does not support automatic classification, sensitivity labels or data policies in the published capability matrix. [2]

This workflow has not been established in our research.

Classify Snowflake data

Purview Data Map documents automatic classification of Snowflake tables and views using a scan rule set. [2] [6]

Classification skips tables or views when their object, schema or database names contain special characters. Self-hosted scanning requires a supported integration runtime and JDK 11. Confirm warehouse access and key-pair authentication for the scan. [6]

This workflow has not been established in our research.

Mask sensitive columns in Snowflake

The Data Map Snowflake connector does not apply data policies in Microsoft's capability matrix. [2]

This limit concerns the Data Map connector. Its classification results do not establish Snowflake masking or other Purview workloads. Require a separate enforcement component if the evaluation needs query-time masking. [2]

This workflow has not been established in our research.

Classify on-prem file shares

The Information Protection scanner can discover, classify and protect files on local and network shares. [4]

Discovery needs read permission. Applying classification and protection needs read, write and modify permissions. The scanner requires Windows Server, SQL Server and an information protection license for the service account. [4]

This workflow has not been established in our research.

Discovery & classificationDocumented [1]Documented [1]
Access governanceUnconfirmedUnconfirmed
Data loss preventionDocumented [1]Unconfirmed
Detection & responseUnconfirmedUnconfirmed
Encryption & tokenizationUnconfirmedUnconfirmed
Microsoft 365◐ Partial

DLP supports Exchange, SharePoint, OneDrive and Teams. Confirm licensing and access-governance requirements separately. [1]

◐ Partial

SharePoint Online, OneDrive for Business and Exchange Online are supported classification sources. This does not establish equivalent access remediation. [1]

AWS◐ Partial

Data Map supports classification in Amazon RDS. Redshift metadata support does not include automatic classification in the reviewed matrix. [2]

? Unconfirmed
Google Cloud◐ Partial

Data Map lists BigQuery metadata and lineage but not automatic classification. Do not equate cataloging with content inspection. [2]

? Unconfirmed
Snowflake / Databricks◐ Partial

Data Map classifies Snowflake and Azure Databricks Unity Catalog data with connector-specific limits. These connectors do not apply data policies. [2]

? Unconfirmed
On-prem shares◐ Partial

DLP for on-prem file shares uses the Information Protection scanner. Deployment and supported file types need checking. [1]

● Full

CIFS/SMB and NFS shares are supported. CIFS/SMB is the preferred protocol in the reviewed documentation. [1]

SaaS apps◐ Partial

Connected non-Microsoft apps include Box, Dropbox, Google Workspace and Salesforce in preview. Browser and network controls have separate prerequisites. [1]

◐ Partial

Box, Dropbox Business and Google Drive are supported sources, with account-edition requirements. [1]

Deployment and data handling

Purview deployment requirements differ by workload. The Information Protection scanner for on-prem files runs on customer-managed infrastructure. [4] [6]

On-prem infrastructure
The scanner requires Windows Server, a SQL Server configuration database and the Information Protection client.
Scanner identity
The documented setup uses an Active Directory service account synchronized to Microsoft Entra ID. Microsoft provides alternative configurations when this is prohibited.
Read versus change
Discovery-only scans need read access. Applying classification and protection to file shares requires read, write and modify permissions.
Snowflake scanning
The Snowflake Data Map connector needs warehouse USAGE and access to the scanned databases. Microsoft documents key-pair authentication with a self-hosted integration runtime. Confirm the current authentication requirements before provisioning the scan.
Not established in the reviewed sources.
Pricing

Purview uses complementary per-user and pay-as-you-go billing models. [3]

Per user
Microsoft 365 and Windows/macOS endpoint capabilities depend on the licensed plan.
Consumption
Non-Microsoft 365 sources and certain other capabilities use Azure-linked consumption billing.

Pricing was not established in the reviewed sources.

Test in the evaluation
  1. For each required control, identify the workload, licensed plan and enforcement component. Demonstrate the action on that workload.
  2. For on-prem scanning, show the service account permissions in discovery mode and protection mode. Identify the Windows and SQL infrastructure the team must operate.
  3. Separate existing entitlements, additional licenses and consumption charges in the quote. Repeat the estimate for a larger data estate and more frequent scans.
  1. List the exact product editions needed for classification, audit and access remediation.
  2. Demonstrate the permissions and network access required to scan one representative file share.
  3. Test classification updates appearing in Auditor reports after a file changes.

Full refers to the documented scope above. It does not establish every control in every store. How coverage is assessed. Turn a coverage claim into an evaluation test.

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