Data security platforms for Snowflake and Databricks

ALTR applies access policies, masking and tokenization to connected databases. Snowflake enforcement and classification can take different processing paths, so check which data leaves the account. [2]

• ●Snowflake / Databricks Snowflake and Databricks are documented integrations. Protection features differ by store. [1]

Ask in the evaluation

Which protection types require an external call, and where will classification run?

BigID supports metadata-only, sampled and full-content scans across files, databases and cloud stores. Its Snowflake integration also applies native tagging and masking. Compare scan settings and the proposed product entitlement. [1] [3]

• ●Snowflake / Databricks Snowflake and Databricks discovery are listed. Confirm which scan modes each connector supports. [1]

Ask in the evaluation

Show how sampled and full scans classify the same representative dataset.

Concentric AI uses content context to classify data and identify excessive access. Its Microsoft 365 workflow connects discovery with permission and sharing remediation. [2]

• ●Snowflake / Databricks Snowflake and Databricks appear in the data-source catalog. [1]

Ask in the evaluation

Use your own business documents to test classification without preassigned labels.

Cyera DSPM combines content classification with identity, access and exposure context, including access revocation and remediation workflows. This profile covers DSPM. Cyera prices DLP as a separate plan. [1] [8]

• ●Snowflake / Databricks Snowflake scanning is documented separately from the findings-export integration. Databricks Unity Catalog scanning is listed in the integration catalog. [2] [3]

Ask in the evaluation

Draw the SaaS or Outpost data flow for each required store, including metadata, samples, regions and any local connector.

DataMasque runs configurable masking jobs against supported databases. Its documented run_data_discovery task inspects schema metadata for likely sensitive columns. That task should not be mistaken for content classification. [2]

• ●Snowflake / Databricks Connections include Snowflake, Databricks SQL Warehouse and Databricks Lakebase. Check task and type limitations for each. [1]

Ask in the evaluation

Separate metadata discovery from any licensed content-discovery feature in the proposed workflow.

Forcepoint DSPM discovers and classifies data, while streaming integrations support activity monitoring. Its Microsoft 365 labeling integration writes classification results to Purview sensitivity labels. [2] [3]

• ●Snowflake / Databricks Databricks and Snowflake appear in the supported-provider catalog. Verify the supported objects and classifier setup. [1]

Ask in the evaluation

Quote DSPM, activity monitoring and DLP enforcement separately.

Immuta manages access policies in supported analytics platforms. Enforcement differs by integration, so a Snowflake masking policy should not be assumed to work identically in BigQuery or S3. [1]

• ●Snowflake / Databricks Snowflake and Databricks integrations support native access policies. Verify feature parity for your integration mode. [1]

Ask in the evaluation

Show masking and row filtering through every query path used by your applications.

Netskope documents store-specific discovery and classification across cloud, SaaS and file shares. SaaS support requires the relevant feature. Check the metadata sent to the application and the classification scope for each store. [1]

• ●Snowflake / Databricks Snowflake and Databricks are listed as supported data platforms. [1]

Ask in the evaluation

Which SaaS connectors and classification types are included in the proposed license?

Privacera manages access policies and scans supported data platforms. Snowflake discovery supports offline and incremental scans, while its feature matrix excludes real-time scanning and lineage. [1]

• ●Snowflake / Databricks Snowflake and Databricks Unity Catalog support row filtering. Tag-based filtering requires OMNI and connector configuration. [2] [3]

Ask in the evaluation

Test policy enforcement on SELECT queries and document what happens on writes.

Protegrity applies field-level tokenization, encryption and masking through protectors integrated with data platforms. Evaluate the protector and runtime for each store because policy enforcement depends on the integration path. [1] [2]

• ●Snowflake / Databricks Snowflake and Databricks integrations are documented. Protector choice and table format affect the implementation. [1] [2]

Ask in the evaluation

Which runtimes and clients can access unprotected values?

Satori governs access to databases and warehouses through proxy or native API integrations. Choose the integration mode per store, then test policy coverage for users who connect directly. [2]

• ●Snowflake / Databricks Snowflake and Databricks integrations are documented. Native features differ by store. [1]

Ask in the evaluation

Which stores use a proxy and which use native policy APIs?

TrustLogix monitors and enforces data-access policies in analytics platforms. It can use Alation classifications and catalog metadata as inputs, so confirm which discovery capabilities come from a separate product. [1]

• ●Snowflake / Databricks Snowflake and Databricks policy management are documented, including separate sources for development, QA and production. [2]

Ask in the evaluation

Show enforcement when a user queries through an alternate client or service account.

Varonis combines content classification, effective-permission analysis and activity monitoring. Its Microsoft 365 controls include removing risky shared links and excessive access. [2]

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

Ask in the evaluation

For every connector, identify where file content is processed, which metadata leaves the environment and whether File Analysis or AI Monitoring changes retention.

comforte protects data fields through tokenization and encryption. Its BigQuery integration replaces sensitive values with tokens while retaining formats for analytics. Verify who can reverse that protection. [2]

• ◐Snowflake / Databricks A Snowflake data-protection integration is documented. Databricks is unconfirmed in these sources. [3]

Ask in the evaluation

Test joins, analytics and application behavior with tokenized values.

DataSunrise combines database monitoring with discovery across databases, object stores and selected collaboration tools. Discovery, masking and blocking have different deployment paths. Confirm feature support for each source. [1] [2] [4]

• ◐Snowflake / Databricks Snowflake is in the monitoring matrix and the product catalog also lists Databricks. Confirm discovery, monitoring and masking support separately for each. [1] [4]

Ask in the evaluation

Supply a per-engine matrix for discovery, activity monitoring, blocking and masking.

Guardium spans discovery, classification and data detection and response across multiple products. Verify the component, collection method and license behind each promised control. [1]

• ◐Snowflake / Databricks Snowflake and Azure Databricks appear in the matrix. Do not assume every Guardium component supports both. [2]

Ask in the evaluation

Which Guardium products and licenses are required for the proposed stores?

Purview 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]

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

Ask in the evaluation

For each required control, identify the workload, licensed plan and enforcement component. Demonstrate the action on that workload.

OneTrust connects discovery and classification with privacy and access policies. Its Snowflake integration applies data tags and role-based masking. Confirm the current entitlement and enforcement workflow. [2]

• ◐Snowflake / Databricks Snowflake field-level classification, tagging and access governance are documented. Databricks is unconfirmed in the reviewed sources. [2]

Ask in the evaluation

Show the deployed version of the Snowflake integration and the permissions it requires.

PK Protect Data Store Manager discovers and masks sensitive data across databases, cloud repositories and packaged apps. Confirm which protection method is available for each store and whether it changes source data or a derived copy. [1]

• ◐Snowflake / Databricks Snowflake is listed. Databricks support was not established by the reviewed sources. [1]

Ask in the evaluation

Does protection modify production values, create masked copies or enforce at query time?

Palo Alto Networks documents DSPM in Prisma Cloud and the newer Cortex Cloud documentation. Confirm the product edition, migration path and regional availability before using a feature list in procurement. [1] [2] [3]

• ◐Snowflake / Databricks Prisma Cloud documents Snowflake scanning. Cortex release notes add Databricks, so coverage depends on product edition and release. [2] [3]

Ask in the evaluation

Identify the exact product, edition and DSPM entitlement in the contract.

Proofpoint DSPM discovers sensitive data and supports data-access analysis. Its Snowflake documentation describes different scan deployments, so require the architecture for the version being quoted. [1] [2]

• ◐Snowflake / Databricks Snowflake classification, access analysis and native tags are documented. Databricks coverage is not established by these sources. [1]

Ask in the evaluation

Is the proposed Snowflake scanner a native app or a sidecar in your AWS account?

Rubrik DSPM combines classification with sensitive-data access analysis and suspicious-activity monitoring. Confirm whether each finding comes from a live source or protected data in the proposed configuration. [1]

• ◐Snowflake / Databricks Snowflake is documented in a DSPM customer deployment. Databricks is unconfirmed in these sources. [3]

Ask in the evaluation

Map live scanning, backup classification and their refresh intervals for every source.

SecuPi combines data classification with fine-grained access policies and de-identification. Its coverage list spans applications, databases and cloud stores, but the enforcement method must be confirmed for each interface. [1]

• ◐Snowflake / Databricks Snowflake and Databricks are listed. The public matrix does not establish identical controls across both. [2]

Ask in the evaluation

Which enforcement component is needed for each data access path?

Securiti combines sensitive-data discovery with privacy workflows and access governance. Its Snowflake integration supports native access controls, row filtering and dynamic masking. [1] [2]

• ◐Snowflake / Databricks Snowflake discovery, access analysis and native policy controls are documented. Databricks remains unconfirmed in these sources. [2]

Ask in the evaluation

Separate data-security controls from privacy request automation in the quote.

DataGuard combines classification with identity, permission and activity analysis. Symmetry describes deployment within the customer environment, including the interface. Request a store-level support matrix before treating broad cloud claims as complete coverage. [1]

• ◐Snowflake / Databricks Snowflake is named. Databricks support was not established by the reviewed sources. [1]

Ask in the evaluation

Which connectors enumerate effective permissions and which only classify content?

Tenable combines sensitive-data classification with cloud exposure and identity findings. Its DSPM uses agentless API scans and provides guided remediation for risky configurations and permissions. [1]

• ◐Snowflake / Databricks Tenable release material documents Snowflake discovery and classification. Databricks is unconfirmed. [2]

Ask in the evaluation

Confirm DSPM entitlement and scan costs in the exact Tenable One package quoted.

Wiz links sensitive-data findings to cloud identity and infrastructure risks. Its DSPM and entitlement analysis can help investigate who can reach sensitive data alongside the surrounding cloud configuration. [1]

• ◐Snowflake / Databricks Snowflake data, configuration and identity analysis are documented. Databricks is not established by these sources. [3]

Ask in the evaluation

Show the difference between a user with permission and a user who actually accessed the data.

Zscaler documents different scan methods by store, including APIs, snapshots, exports and sampled queries. A supported connector does not establish that every row or object is inspected. [1]

• ◐Snowflake / Databricks Snowflake and Databricks are supported through sampled queries. Confirm cloud and region limits. [1]

Ask in the evaluation

What sampling rate and exclusions apply to each store?

Macie discovers sensitive data in Amazon S3. Storage classes, file formats and object eligibility limit what it can inspect. Database exports to S3 do not constitute a native database integration. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Show which objects were inspected, skipped or excluded, grouped by format, storage class and access failure.

Bedrock combines data classification with entitlement analysis in its Metadata Lake. Adaptive scanning selects representative samples from similar objects. Check the sampling policy and what metadata reaches the service. [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

How are representative samples chosen and what could be missed?

Cloudflare combines HTTP traffic inspection with API-based scans of stored content through CASB. Its documented CASB scan scope is publicly accessible files, with file-type and size limits. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Test whether your private, internally shared and public files are included in the proposed scan.

Falcon Data Security for Cloud combines agentless discovery with runtime monitoring of sensitive data flows. Runtime visibility uses eBPF in the Falcon sensor. Request a store-level matrix before treating broad cloud coverage as complete. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

List the exact cloud storage and database engines inspected at rest.

Cyberhaven combines endpoint and cloud discovery with data lineage and DLP. Its DSPM adds origin and movement context to classification and flags excessive repository permissions. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Separate stored-content scanning from observing a user download or upload in each required application.

Egnyte Secure & Govern scans connected content sources for sensitive data and access issues. Microsoft sources need permissions management configured to expose permission risks. Windows file servers use an agent. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Confirm that the source is connected for governance rather than migration only.

FortiDLP combines endpoint controls with SaaS integrations. Browser activity controls and stored-content connectors have different visibility. Check which path protects each app and whether the needed feature is in the proposed tier. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which controls use an endpoint agent and which inspect content through an app connector?

Fortra DLP is the current name for Digital Guardian. Endpoint agents, network appliances and discovery components cover different data paths. The discovery documentation explicitly covers local and network shares. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which components are needed for endpoint, network and stored-data coverage?

Discovery produces data profiles, while inspection identifies individual sensitive values. Supported stores differ between these functions, so specify whether the evaluation needs a risk profile or a content scan. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Does each required store need data profiles, individual inspection findings or both? Demonstrate the selected output.

GTB documents repository discovery alongside endpoint and network DLP. SharePoint Online and S3 have separate setup guides. Confirm discovery-server placement and the permissions required for each cloud connection. [2] [3] [4]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which requested Graph permissions are necessary for the selected remediation actions?

Metomic combines SaaS content discovery and remediation with controls for AI requests. Evaluate app connectors and the MCP gateway separately because they inspect different paths to sensitive data. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which controls inspect stored app content and which require traffic through the MCP gateway?

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]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

List the exact product editions needed for classification, audit and access remediation.

Nightfall offers native SaaS integrations and a developer scanning API. Custom API workflows require integration work, so distinguish them from ready-made connectors when comparing coverage. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which integrations need elevated app permissions or a specific app subscription?

Data Safe focuses on Oracle databases, including deployments outside Oracle Cloud. Discovery identifies sensitive columns. Its database scope should not be read as coverage of file shares or collaboration apps. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Can each target database connect to the selected Data Safe region?

Polymer classifies SaaS content and applies actions such as redaction, deletion and sharing restrictions. Remediation differs by app. Its Standard price is per user and per integration, which matters when connecting several apps. [1] [2] [3]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

How are active users counted across multiple integrations?

Safetica combines content classification, DLP and user-activity controls. Cloud-hosted and on-prem editions have different feature sets. The plan matrix distinguishes Microsoft 365 visibility from sharing policies, so check the required action. [3]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which policies can block an action versus report it after it happens?

Sentra classifies cloud data, analyzes sharing permissions and alerts on suspicious data activity. Its scanning architecture allows both customer-owned and Sentra-owned scanner accounts. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Specify which account owns every scanner and where extracted samples and metadata are retained.

Skyhigh combines cloud access controls with content classification and DLP. API and proxy use cases need separate evaluation, especially when the requirement is to stop a download from an unmanaged device. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which controls scan stored content and which intercept activity?

Spirion uses scanning agents with a SaaS analytics platform. Differential scans skip unchanged files, but that feature has its own source restrictions. Confirm whether a scan covers all content or only changes. [2] [3]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which sources support differential scans and which require full rescans?

Symantec DLP spans endpoint, network, stored-data and cloud components. File-share discovery and cloud enforcement can require different products, so evaluate the licensed combination against the intended channels. [1]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which DLP Core, CloudSOC and cloud detection licenses are required?

CipherTrust combines data discovery with separately configured encryption and key-management components. Cloud key support does not establish content scanning or access governance for the same service. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Map each store to discovery, encryption and key-management components and quote them separately.

Trellix separates endpoint, network and stored-data DLP. Discover inventories and classifies repository content. Confirm the required modules and current server support before using older deployment specifications. [1] [2]

• ?Snowflake / Databricks Coverage was not established by the sources reviewed.

Ask in the evaluation

Which supported server versions and Discover components are required today?