Live Access to the Delta Lake with Excel

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Semantic Lakehouse for Business Intelligence

The Databricks Lakehouse combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance, and performance of data warehouses with the openness, flexibility, and machine learning support of data lakes.

The AtScale Semantic Layer stands independent from consumption tools – centralizing governance and control while enabling de-centralized analytics consumption and data product creation.

Add Multidimensional Interface to the Databricks Lakehouse

Leverage native MDX connectivity for multi-dimensional analysis on live cloud data. AtScale emulates Microsoft SSAS in its Excel connectivity while connecting directly to the Databricks Lakehouse.

AtScale drives analytics workloads to Databricks SQL endpoints and clusters to deliver sub-second query performance by automating the creation and maintenance of aggregate tables in Delta Lake.

Organizations democratize access to the Delta Lake and enable business users to run PivotTables, Slicers, and CUBE functions directly on the Lakehouse using Excel.

AtScale + Databricks platform diagram

AtScale helps Databricks customers build world-class BI and AI/ML programs while leveraging the full flexibility and capability of Databricks lakehouse.

The AtScale on Databricks Advantage

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Semantic Layer

Establish a single view of critical business metrics and establish common analytics vocabulary across all data consumers.

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No-Code Modeling

Build sophisticated models across disparate data sources with no SQL. Rapidly iterate models that can be shared across analysis teams.

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Semantic Lakehouse

Support both BI and AI/ML use cases on a single Lakehouse Platform, removing the need for optional serving layers and additional data warehouses.

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Security and Governance

Extend role-based security and governance policies of source data to analytics consumption.

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Bring your Own BI

Access AtScale models from your existing tools including Tableau, Power BI, Excel, and Looker without having to worry about the complexity of the tools query language.

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AI/ML Ready

Access governed data sets from semantic layer with python. Publish model results back to semantic layer for distribution in BI dashboards.

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Integrate New Data Sources

Enhance analyses with external data sources by blending enterprise data with third-party cloud data services within the AtScale model.


AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries.