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AtScale provides a single place for business logic and semantic definitions, ensuring consistent data access and KPI reporting for analytics consumers across your organization.




Decision making based on inconsistent data is responsible for an average of $15 million per year in losses to the enterprise, according to Gartner. The main contributing factor is that enterprises use a variety of tools for KPI reporting that rely on varying subsets of data.

The types of analytics consumers and their respective toolsets have proliferated. While the needs of a data scientist and a business intelligence user may seem quite different, they both need simple and secure access to clean, understandable data. When you define business metrics, data access, and transformations in one place, analytics consumers throughout your organization are almost guaranteed to speak the same language, regardless of their use case or toolsets.

A Common Business Language Across Your Organization

Today’s self-service architectures can require business users and data scientists to program their own metrics and business terms, creating a recipe for chaos and inconsistency. By defining business metrics, data access and transformations in one place, analytics consumers are almost guaranteed to speak the same language, regardless of their use case or toolsets.

Standardized and consistent business logic

AtScale defines all business logic in one place for everyone so there’s no need to build business logic and calculations directly into your BI dashboards and workbooks.

Consistent KPI Reporting

AtScale’s Universal Semantic Layer™ (USL) provides shared data definitions with a logic layer that results in consistent KPIs and presents all of your data in a common business language easily understood by all of your users.

Create flexibility for evolving data architectures

A Universal Semantic Layer also allows you to retire multiple, proprietary and conflicting semantic layers that are tough to maintain and impossible to keep in sync.

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Simplify your Analytics Stack, Not Complicate It.

By adding a Universal Semantic Layer to your architecture, you can drastically simplify your stack, not complicate it. The key is that a semantic layer is useless and counterproductive unless it’s universal. All BI tool and cloud vendors want to convince you to stay within their walled gardens with their tool-specific semantic layers.

By investing in a stand-alone Universal Semantic Layer, you can free yourself from vendors’ proprietary chains and create the flexibility you’ll need as new data platforms and tools inevitably continue to proliferate.



BI Tool and Data Platform Agnostic

AtScale connects your preferred BI tool to your data regardless of the location or format of the data source. Free your data consumers from time-consuming data wrangling and preparation, and ensure consistent reporting without the need for retooling or retraining.

Deliver and Manage Data Access and Quality Across Multiple Silos

Creating a single point for data access also serves as a central governance gateway across the enterprise. IT can secure the data and control its access once and for all.

Bridge Business Users Across Data Migrations

AtScale hides the physical complexity of complex data architectures from users by presenting them with understandable business terms and business-friendly data instead of database schemas and raw SQL.

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AtScale Works with Your Favorite BI Tools

Get live connections to your data and consistent reporting using the BI tools you already use, with no re-tooling or data extracts.


Avoid the burden of maintaining and syncing multiple semantic layers while gaining the freedom to explore new technologies, while maintaining consistent reporting across tools.


Your data has meaning but it’s hidden within multiple data types that lack business context. Without the need for a special tool, your data analysts can tap into that meaning for faster and accurate analysis and a shared data intellect.


Use your existing BI tool drivers to connect to your data platforms - nothing else needed. AtScale natively connects to live data on-premise and in the cloud while providing a layer of consistently defined business metrics.

Tyson Foods leverages AtScale for OLAP use cases on Google BigQuery across a number of the company's mission critical business functions. AtScale's Cloud OLAP and Autonomous Data Engineering™ capabilities seamlessly deliver interactive query responses times while minimizing load and improving concurrency across all of our operational data.

CHAD WAHLQUIST Director, Data Strategy and Analytics Technology Platforms


"One of our top priorities was to run rapid-fire, multi-dimensional analytics at large scale. With AtScale, users can run live queries, straight to Google BigQuery at great speeds." - Maurice Lacroix,
BI Product Owner,

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“Adopting Snowflake was the easiest part of our cloud transformation. Repointing AtScale from our old environment to our Cloud data warehouse was seamless for end users.” - Mark Stange-Tregear, VP of Analytics, Rakuten Rewards

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"By teaming up with AtScale and Tableau, our group was able to launch to supplement disease tracking of COVID-19 throughout the pandemic. — Kara Sewalk, Program Manager, Boston Children’s Hospital

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