AtScale
Universal semantic layer for consistent metrics across BI and AI tools
About AtScale
AtScale provides a semantic layer that defines business metrics once and serves them to BI tools, spreadsheets and AI applications on top of cloud data platforms. Queries are pushed down to the underlying warehouse rather than copying data. It targets enterprises standardizing analytics across multiple tools.
Common use cases
- Consistent BI metrics
- Self-service analytics
- Governed AI querying
- Warehouse migration support
Products and services
AtScale Semantic Layer Platform
Modeling and query engine that exposes governed metrics to analytics tools.
Semantic Layer for AI
Interfaces that ground AI assistants in governed business definitions.
Key features
- Metric definitions
- Query pushdown
- Multi-BI support
- Access governance
- Caching and aggregates
- AI grounding
Integrations
- Snowflake
- Databricks
- Google BigQuery
- Amazon Redshift
- Tableau
- Power BI
- Excel
AtScale alternatives
- CUCube
- DSdbt Semantic Layer
- LOLooker
DenodoData virtualization and logical data management platform
FAQs
Does it move data?
No. It queries data in place in the underlying platform.
Which BI tools work with it?
Tableau, Power BI, Excel and other SQL or MDX clients.
Why not just a BI tool model?
It centralizes metric definitions so multiple tools and AI apps share one set.

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