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Enterprise Layer Intelligence
Categories/Data Platform & Integration/AtScale
AtScale

AtScale

Founded by David Mariani

Connect business intelligence tools and AI agents to cloud data through unified semantic models

Pricing model

Free Trial, Paid

Rating

★ Positive

Time to value

< 1 Hour

You can use AtScale to establish a unified semantic layer between cloud data warehouses and analytical applications. It allows data teams to define metrics, business logic, hierarchies, and security rules once, making them reusable across tools like Tableau, Power BI, Excel, and custom AI agents. The software executes queries directly inside cloud warehouses like Snowflake and Databricks without copying or moving data. It also manages cloud compute costs and query speeds through automated data aggregations, ensuring consistent calculations across all reporting tools.

What AtScale does

Define enterprise metrics and relationships once in a centralized modelConnect business intelligence dashboards to live cloud warehousesExpose structured semantic context to agentic AI assistantsSet role-based and row-level access permissions on data dimensionsTrack and reduce warehouse compute expenses from repeated queriesVersion control semantic models using CI/CD development pipelinesBuild and manage semantic models using visual or code-first workflowsQuery live cloud data in place without moving or copying recordsGenerate autonomous aggregates to control cloud compute costs and query runtimesStandardize business logic and metric definitions across BI tools and AI agentsSupport multi-protocol queries including SQL, MDX, DAX, Python, and RESTEnforce row-level security and governance rules directly at the metric layer

Pricing breakdown

Pricing model: Free Trial, Paid

Frequently asked

SnowflakeSnowflakeDatabricksDatabricksPostgreSQLPostgreSQLPower BIPower BIMicrosoft ExcelMicrosoft ExcelTableauTableauLookerLookerKlipfolioKlipfolioSupersetSupersetThoughtSpotThoughtSpotQlikQlikPythonPython

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AtScale, semantic layer, metric store, Snowflake, Databricks, BigQuery, business intelligence, AI agents, data modeling, Tableau integration, Power BI, data governance, cloud data warehouse, OLAP, agentic analytics, SQL