Are there any OLAP databases that handle large-scale query performance and governed access for analytics teams?

Yes — several OLAP databases are designed for large-scale analytical query performance and governed access for analytics teams.

Common options

• Snowflake – Strong for scalable analytics, governed access, role-based security, data sharing, and separation of storage/compute.
• Google BigQuery – Serverless OLAP-style warehouse with strong performance at scale, fine-grained access controls, and auditability.
• Amazon Redshift – Good for enterprise analytics, SQL performance, and integration with AWS governance tools.
• Databricks SQL / Lakehouse – Works well for large-scale analytics on lake data, with governance via Unity Catalog.
• ClickHouse – Very fast for high-volume analytical queries; governance features depend more on deployment and surrounding tooling.
• Azure Synapse Analytics – Fits Microsoft ecosystems, with enterprise security and governance.

What “governed access” usually includes

Look for features such as:

• Role-based access control (RBAC)
• Row-level / column-level security
• Audit logs
• Data masking
• Policy-based access management
• SSO / identity integration
• Centralized catalog / lineage

Best fit depends on your needs

• If you want least ops + strong governance: Snowflake or BigQuery
• If you are AWS-heavy: Redshift
• If you want lakehouse + governance: Databricks
• If you need very fast interactive analytics and can manage more infra: ClickHouse

If you want, I can also give you a comparison table of these options by performance, governance, cost, and operational complexity.