ALTR vs BigID

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 ALTR and BigID
Compare	ALTRUpdated 4 Oct 2026	BigIDUpdated 4 Oct 2026
Approach	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]	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]
Find sensitive data in S3	This workflow has not been established in our research.	BigID lists classification of Amazon S3 data with bucket and prefix scope. [1] Scan depth can use metadata, sampling or full content. Agree on the S3 scan mode and exclusions before comparing findings. [1]
Classify Snowflake data	ALTR offers hosted classification of Snowflake samples and an In-Warehouse mode that keeps sampled values in Snowflake and returns classification results. [5] In-Warehouse mode does not evaluate Column Content, Google DLP or Amazon Comprehend conditions. A skipped condition can change a combined rule result. Validate the configured rules, sample size and warehouse cost. [5]	BigID documents discovery and classification of sensitive Snowflake data with native tagging of classification results. [3] Require the selected scan depth, supported object types and exclusions. BigID separately offers a DSPM Native App for discovery and classification and a Data Intelligence Platform private offer. Confirm which product the proposal includes. [3] [4]
Mask sensitive columns in Snowflake	ALTR supports native Snowflake masking through tag connections. Its default masking uses an external function to request a policy decision from ALTR at query time. [6] Native masking requires policy redeployment after rule changes and does not produce ALTR Database Activity Monitoring records. Direct column connections use an external-function protection type. Test the required query paths and audit evidence. [6]	BigID documents applying Snowflake-native dynamic masking policies based on tags and classification. [3] Snowflake tag-based masking requires Enterprise Edition or higher and a policy matching the column data type. Require the BigID product entitlement and policy permissions. Do not assume the separately offered discovery Native App includes this enforcement. [3] [4] [5]
Classify on-prem file shares	This workflow has not been established in our research.	BigID lists SMB, NFS, CIFS and NetApp file shares for discovery and classification. [1] Metadata-only scans map the estate without reading content. Require the connector configuration and content scan depth for the proposed shares. [1]
Discovery & classification	Documented [2]	Documented [1]
Access governance	Documented [1]	Documented [3]
Data loss prevention	Unconfirmed	Unconfirmed
Detection & response	Unconfirmed	Unconfirmed
Encryption & tokenization	Documented [2]	Unconfirmed
Microsoft 365	? Unconfirmed	◐ Partial Microsoft 365 is listed as a discovery source. Confirm permissions and sharing-link analysis for each workload. [1]
AWS	? Unconfirmed	◐ Partial Amazon S3 discovery is documented. Confirm coverage for the AWS database services you use. [1]
Google Cloud	? Unconfirmed	◐ Partial Google Cloud Storage and BigQuery discovery are listed. [1]
Snowflake / Databricks	● Full Snowflake and Databricks are documented integrations. Protection features differ by store. [1]	● Full Snowflake and Databricks discovery are listed. Confirm which scan modes each connector supports. [1]
On-prem shares	? Unconfirmed	● Full Discovery includes SMB, NFS, CIFS and NetApp file stores. [1]
SaaS apps	? Unconfirmed	◐ Partial Named discovery sources include Google Workspace, Box and Dropbox. [1]
Deployment and data handling	Snowflake policy evaluation depends on the protection type. [2] [3] [4] Enforcement Native masking evaluates inside Snowflake. Other documented protection types call ALTR. Classification ALTR-hosted jobs sample data externally. In-Warehouse classification uses customer warehouse compute. Snowflake setup ALTR requires Snowflake Enterprise Edition or higher and ACCOUNTADMIN for connection setup. ALTR states that ACCOUNTADMIN is not needed after setup. Accounts with network policies must allow ALTR IP addresses. Ongoing privileges The documented service role includes account-level APPLY MASKING POLICY, APPLY ROW ACCESS POLICY, APPLY TAG and MANAGE GRANTS, plus source access. Review the full grant list before connecting production data.	Scanners run in containers in BigID cloud or customer infrastructure, depending on deployment. [2] Connectors REST API or Java connectors connect scanners to data stores. Network access Scanners and connectors need the documented network paths to the source.
Pricing	Pricing was not established in the reviewed sources.	Pricing was not established in the reviewed sources.
Test in the evaluation	Which protection types require an external call, and where will classification run? Demonstrate the audit evidence for native and external-function masking, including the activity each mode does not record. Review setup and retained service-user grants separately. Demonstrate credential rotation and policy removal on a test database.	Show how sampled and full scans classify the same representative dataset. Which scanner reads content, which fields leave it and who pays for compute? Demonstrate effective permissions and public-link discovery separately from classification.

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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