Bring consistency to your metrics
Define your metrics with the dbt Semantic Layer for peak dependability.
Data teams trust dbt Cloud
Reliable metrics from a single source of truth
Use the dbt Semantic Layer to centrally define your metrics right alongside your dbt models. You can access them from any integrated analytics tool and get the same answers—everywhere, every time.
Trust your numbers
Define your metrics centrally. They’re referenced dynamically from a single source, so you get consistent results.
Improve access to data
Grant non-technical business users access to the self-serve metrics so everyone is speaking the same language.
Gain the freedom to choose
Give your team the freedom to use their preferred analytic tools, while accessing the metric logic that dbt Cloud defines.
Easily define your metrics
Define your metrics and semantic models as code in easy-to-configure YAML files. Metrics are automatically added to your project’s lineage and make it simple to check upstream and downstream dependencies.
Trust in your deliverables
Ship data products with the knowledge that definitions of key concepts are universal throughout the business. Standardizing with the dbt Semantic Layer ensures that data means exactly what you think it means.
Power a better experience with MetricFlow
Query at scale with MetricFlow, a new addition to the dbt Semantic Layer. It automatically creates a graph of your semantic models and can traverse joins across hundreds of tables. Your team is spared from rigidly designing every metric and dimension—saving time and reducing costs.
Apply consistent metrics wherever you work
Query your trusted, defined metrics from any one of our Semantic Layer integrated analytics partners. dbt Semantic Layer also supports a variety of data platforms including BigQuery, Databricks, Redshift, and Snowflake.
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