Accelerate Data-Drive Decisions with AtScale and Databricks

AtScale simplifies and accelerates business intelligence and data science programs built on Databricks

The Databricks Lakehouse architecture is a revolution in cloud data management that supports enterprise data science and analytics programs. The ability to centralize disparate data sets in a highly scalable, cloud-based infrastructure is the foundation for democratizing data across organizations.

The combination of AtScale and Databricks delivers a powerful platform for data teams to build robust business analytics programs – making analysts and data scientists more productive and decreasing time to insight.

The Power of AtScale and Databricks

AtScale delivers a business-oriented semantic layer that sits on top of Databricks. AtScale provides live, high performance query access to data stored in a Databricks lakehouse while forming a single source of governed analytics for all data consumers to leverage. AtScale supports analysts and data scientists working in a wide range of BI and data tools. Teams spend more time delivering insights, less time manipulating and prepping data.

atscale and databricks integrate with BI platforms

AtScale helps Databricks customers build world-class business intelligence and data science programs while leveraging the full flexibility and capability of Databricks lakehouse.

The AtScale on Databricks Advantage

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Semantic Layer

Establish Establish 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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Optimize Cloud Analytics

Optimize analytics programs built on cloud infrastructure. Ensure performance, manage costs, bridge multi-cloud data.

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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.

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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.

Key Analytics Benefits
  • Business metrics stay consistent across the organization.
  • Analysts can access a broader range of data.
  • Promotes self-service with business-friendly semantics.
  • Insights are more easily disseminated through preferred BI tools.
  • Security, compliance, and governance policies are enforced.