For embedded analytics, the embed session sets the attributes, so each customer sees only their rows without a separate workbook per tenant. Sigma resolves user attributes and functions such as CurrentUserEmail() and CurrentUserAttributeText() at query time and pushes the resulting WHERE clause to the warehouse (Snowflake, BigQuery, Databricks, Redshift, or PostgreSQL). These four use the same underlying idea, user attributes that resolve at query time into SQL filters, and differ in how the attribute is defined and how it reaches an embedded session. Dynamic RLS is the right default for anything beyond a handful of roles. A PostgreSQL policy takes a database administrator and a migration, but it also protects the same table from every other tool that sets the same context.
Power BI implements RLS through DAX role definitions in the semantic model. A Looker developer can add an access_filter in five minutes and it protects every Looker query path. Eight of the nine tools define RLS inside the BI application. Prices are list Unli Slots Casino prices from public pricing pages, verified September 2026; quote-based vendors are marked as such.
Row-level security decides which records a user sees; column-level security decides which fields. Physical isolation gives you tenant separation without RLS, but it does not scale past a few hundred tenants, complicates cross-customer analytics, and multiplies migrations. The bypass risk is outside the tool, when the same user reaches the database through a SQL editor, a second BI tool, or a leaked credential. Always test by asking the AI for “all rows” as a restricted user; early natural-language features from several vendors did not enforce RLS consistently. Looker, ThoughtSpot Enterprise, Sigma, and Omni are quote-based and generally sized for larger teams. Basedash’s Startup plan ($1,000 per month for up to 25 users) includes RLS and flat pricing, so viewers are free to add.
Rules on source tables flow to Models, Answers, Liveboards, and Spotter responses. ThoughtSpot uses rule-based RLS with the system variables ts_groups and ts_username. Looker enforces RLS in LookML with access_filter (map a user attribute to a field and filter every query) and sql_always_where (inject a WHERE clause into every SQL statement from an Explore). Copilot answers inherit the user’s RLS role, but Copilot itself requires Fabric capacity rather than a Pro license alone.