The best dbt Semantic Layer alternatives

MetricFlow may suit data teams using dbt who want to define reusable metric logic and generate SQL across dimensions.

It is aimed at teams that need governed data products and controlled access across analytics and AI use.

Cube may suit teams building internal business intelligence or embedded analytics, particularly those seeking governed definitions shared by…

Sema describes itself as built for enterprise and regulated teams, including organizations with warehouses containing thousands of tables.

Tableau suits teams that need to build and share dashboards, visualizations, or data apps.

It is presented for data engineers, developers, analysts, decision makers, and enterprises that need centralized metric definitions.

Malloy fits SQL users who need reusable semantic models, governed metrics, nested analysis, and database-specific SQL generation.

Holistics is intended for data teams building governed models and business users who need to explore datasets or create reports without SQL.

Looker may suit organizations that want governed data exploration, dashboards, embedded analytics, and natural-language queries.

Verdonz suits teams that want to investigate business data and workspace documents with governed metrics and approval before actions that change…

It suits teams that want connectors, data pipelines, modeling, BI, and AI-assisted analysis in one platform.

Strata is aimed at teams opening warehouse data to non-technical users and AI agents.

It suits organizations in financial services, manufacturing, and retail that need shared business metrics and analytics across BI tools.

It suits organizations seeking shared metric definitions and row-level access controls that can run a self-hosted project.