Microsoft Purview vs Varonis

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]

Varonis documents effective-permission analysis and automated remediation of risky sharing links and excessive access in Microsoft 365. [2]

Its Purview integration supplies labels for downstream DLP. Validate the access changes separately from any requirement to block a transfer. [2]

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]

Varonis documents classification of S3 objects alongside bucket exposure and effective-permission analysis. [5]

The S3 release documents scoping by bucket, object, region, file type and size, plus optional sampling. Require the configured scope and skipped-object report before treating results as a complete inventory. [5]

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.

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]

Varonis documents Snowflake classification at table and column level alongside role inheritance and effective-access analysis. [7]

The coverage page does not specify the scan sample, supported data types, source grants or warehouse cost. Confirm these for the proposed connector and reconcile skipped objects against a known inventory. [7]

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]

Varonis states that its Snowflake integration automatically applies dynamic data masks to sensitive data. [7]

The public coverage page does not establish the policy mechanism, required edition, supported objects or exception behavior. Request a demonstration of masked and authorized results, policy updates and rollback for the quoted product. [7]

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]

Varonis documents classifying Windows file shares and NAS data, linking sensitive files to effective permissions and replacing high-risk access groups through automated remediation. [6]

Its collector model processes file content in the customer environment. Confirm the supported NAS model, collector prerequisites and approval and rollback behavior for each proposed access change. [3] [6]

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

Content inspection, effective permissions, shared-link remediation and activity monitoring are documented. [2]

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

Coverage includes S3, RDS, Redshift, EBS, EC2-hosted databases and FSx for ONTAP. Check controls for each service. [1]

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

Google Cloud Storage and BigQuery are named. Other GCP services need confirmation. [1]

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

Snowflake and Databricks are listed for classification and data risk analysis. [1]

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

Windows file shares and NAS are supported. Confirm the appliance and protocol in scope. [1]

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

Named data sources include Box, Google Workspace, Salesforce, Slack and ServiceNow. [1]

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.

Varonis documents customer-hosted collectors for its Data Security Platform and a separate processing model for DatAdvantage Cloud. [3] [4]

Collector model

File content is classified inside the customer environment. Metadata, classifications and access events are sent to the SaaS platform.

DatAdvantage Cloud

Cloud-source content is retrieved for classification and then discarded. Metadata and classification results remain in the cloud.

Content exceptions

Optional File Analysis lets authorized users retrieve files through the platform. Opt-in AI Monitoring stores prompts and responses from AI audit logs for the licensed retention period.

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.

Local components

Customers are responsible for patching, restricting access to and monitoring on-prem components.

Tenant and source access

Customers select tenant geolocation and manage source credentials, secret rotation and encrypted connections.

Staffing levels and ongoing operating hours are not established in these sources.

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. For every connector, identify where file content is processed, which metadata leaves the environment and whether File Analysis or AI Monitoring changes retention.
2. Demonstrate remediation of inherited permissions and anonymous links, including approval, audit history and rollback.
3. Quote the required data sources and controls, then separate managed response and the infrastructure and staff responsibilities retained by the customer.