For example, a salesperson may query the company’s orders table but only see orders for their assigned region, even though the table contains every region’s data. The user writes a normal SELECT statement, and the engine returns only the rows they’re allowed to see.

RLS is now a core building block for multi-tenant SaaS, regional data segregation and compliance use cases. This article covers how RLS works, where it helps, where it falls short and how it works on the Databricks Platform.

Row-level security works by applying a filter rule, often called a policy or predicate, to a table. When a user runs a query, the database engine automatically applies that filter and returns only the rows the user is allowed to see.

Because enforcement happens at the database layer, the same rule applies consistently across every access path, including BI dashboards, notebooks, ad-hoc SQL, APIs and third-party tools. That consistency is what makes RLS powerful: one rule, applied everywhere, enforced by the engine.