Omni

Omni is built around a shared semantic layer that your analytics team owns and versioning through dbt, making it play well with modern data stacks. The platform lets different users query the same model in different ways, SQL experts write parameterized queries, while business analysts work through a spreadsheet-like interface. AI agents can also access the semantic layer directly, turning your data model into an API that other tools can build on.

It works best for organizations transitioning to modern cloud data warehouses and wanting a single source of truth for metrics. Your data analysts stay in SQL and dbt, while you reduce the friction for non-technical users to self-serve without building separate dashboards for each question.