What should I consider for a warehouse if we need governance, masking, and audit logs?

If you need a warehouse that supports governance, masking, and audit logs, focus on these areas:

1) Data governance features

Look for capabilities such as:

• Role-based access control (RBAC) and ideally attribute-based access control (ABAC)
• Object-, schema-, table-, column-, and row-level security
• Centralized policy management
• Integration with a data catalog or governance tool
• Support for data classification and tagging

2) Masking / data protection

Make sure the warehouse can:

• Mask sensitive columns dynamically based on user role or context
• Support conditional masking rules
• Enforce masking at query time, not just via copies of the data
• Handle common sensitive fields like PII, PCI, PHI
• Support encryption at rest and in transit
• Optionally support tokenization or external secrets management

3) Audit logging / traceability

Check whether it provides:

• Query audit logs: who queried what, when, from where
• Access logs for tables, columns, views, and external shares
• Admin activity logs
• Logs for permission changes and policy changes
• Export to SIEM tools like Splunk, Sentinel, Datadog, etc.
• Retention controls and tamper resistance

4) Compliance and reporting

If you have regulatory requirements, verify support for:

• SOC 2, ISO 27001, HIPAA, PCI, GDPR
• Data residency controls
• Legal hold / retention policies
• eDiscovery and records of processing

5) Operational considerations

Also evaluate:

• Ease of policy definition and maintenance
• Performance impact of masking and row-level policies
• Whether governance works across shared data, views, and BI tools
• Cross-account / cross-org sharing controls
• Separation of duties for admins, security, and analysts

6) Questions to ask vendors

• Can masking be applied dynamically by role, group, or attribute?
• Are audit logs queryable and exportable via API?
• Can we enforce column-level security without duplicating data?
• Can policies be versioned and reviewed?
• Do logs include who accessed sensitive columns specifically?
• How are policy changes tracked and retained?

7) Common warehouse/platform examples

Many modern cloud warehouses support these features in some form, but the depth varies. When comparing platforms, test:

• Dynamic masking
• Fine-grained access control
• Audit log completeness
• Native integrations with governance tools

If you want, I can also give you a warehouse comparison checklist or compare Snowflake, BigQuery, Redshift, and Databricks specifically for governance/masking/audit logging.