Best Semantic Layer Software in 2026

dbt Semantic Layer

The Semantic Layer suits data teams that need governed metrics for analytics, embedded applications or AI use cases.

MetricFlow suits dbt teams that want centrally defined metrics and generated SQL across supported warehouses.

Sema is aimed at enterprise and regulated teams, including those working with warehouses that have thousands of tables.

Starburst Enterprise Context Layer

The Context Layer is aimed at organizations that need governed, versioned data products for BI tools, APIs, AI agents, or apps.

Holistics suits data teams building governed analytics for business users who want self-service reporting without SQL.

Kyvos

Kyvos is intended for enterprise data and analytics work across industries and teams.

Synmetrix may suit data engineers, developers, analysts, decision makers and enterprises that need a shared metrics model.

Definite suits teams that need to connect data sources, build reports or data applications, and work with an AI analyst.

It suits teams building shared analytics for cloud, server, CRM, collaboration, and regulated-industry environments.

Looker

Looker suits organizations that want governed data models, analytics, and dashboards, including embedded analytics and scheduled reports.

Kyligence

Kyligence is suited to organizations that need shared, governed business metrics across BI tools and applications.

Rill suits teams building governed analytics from warehouse data, including teams embedding dashboards for partners or exposing metrics to AI agents.

Verdonz suits organizations that want governed questions and analysis across connected business data and workspace documents.

Malloy is aimed at people working with data models and queries, particularly SQL users whom the project says can understand it readily.

Strata

Strata suits teams opening warehouse data to non-technical users and AI agents through governed models.