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Semantic Layers and Metric Stores

A curated directory of Semantic Layer and Metric Store platforms — enabling governed, consistent business metric definitions across BI and AI tools, from cloud data warehouses to enterprise analytics environments.

  1. AtScale Semantic layer that maps complex data to familiar business terms, creating a unified, governed view of data across your organization for consistent BI and AI consumption.
  2. Cube Business intelligence frontend built on a universal semantic layer, enabling humans and AI to collaboratively model, visualize, and analyze data across any data source.
  3. Oracle Analytics A complete analytics platform with ready-to-use services for a wide variety of workloads and data — delivering actionable insights from cloud, on-premises, or hybrid deployments.
  4. Google Looker Delivers intelligent BI by combining foundational AI, cloud-first infrastructure, industry-leading APIs, and a flexible semantic layer for consistent, governed analytics.
  5. Snowflake Native Semantic Views Snowflake's Native Semantic Views unlock easy, efficient, and trusted AI-powered BI for the enterprise — bringing governed metric definitions directly into the data cloud.
  6. Microsoft Fabric A complete data platform that unifies teams and data to accelerate AI innovation — powering AI transformation with integrated analytics, data engineering, and semantic capabilities.
  7. SAP Business Data Cloud Amplifies the value of AI with enterprise-grade data management — bringing together SAP and third-party data to deliver trusted, business-ready insights across the organization.
  8. dbt Semantic Layer Powered by MetricFlow — simplifies defining and using critical business metrics in the modeling layer, centralizing definitions for consistent self-service access across downstream data tools.
  9. Airbyte Semantic Mapping Enhances data understanding and interoperability through semantic mapping — helping teams align data definitions across pipelines and downstream analytical systems.
  10. Kyvos Insights Semantic layer platform for AI and BI — enabling sub-second analytics on massive datasets by building universal semantic models on top of cloud data lakes and warehouses.
  11. Databricks Business Semantics Unified and open semantics for BI and AI within Unity Catalog — centralize business definitions you can trust across all your tools and use cases on the Databricks lakehouse.