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You now have the freedom to analyze any data, with any tool, all in one place—
not just rows and columns but rows and columns with meaning.

Unlock the underlying meaning in your data

Your data has meaning but it’s hidden behind simple 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.


Live Connections, Not Extracts

Connect BI tools like Tableau, Excel, Power BI and more to live data sources without data movement. Eliminate data extracts and minimize manual engineering projects like cube building and ETL.

Multidimensional & Tablular

Upgrade to an easy-to-use and scalable BI platform with support for time-based calculations, hierarchies, semi-additive metrics, multi-level measures, many-to-many relationships, and more.

No Client-Side Software

Use your existing BI tool drivers to connect to your data platforms. Nothing else needed. AtScale is the only solution that natively connects Excel to live data on-premise and in the cloud. Since AtScale automatically converts MDX code, to the SQL specific to your data platform, it is easy to migrate users to the cloud without having to change any MDX code embedded in Excel spreadsheets or a legacy tool like Microsoft SSAS.

Future-Proof Your Infrastructure

Breaking the hard wire connection between data and business user and gain the freedom to explore new technologies without disrupting your users. Feel empowered to move from on-premise to the cloud, from Hadoop to Snowflake, move a portion of your data or lift-and-shift the entire database to new data platform—the possibilities are boundless.

Use Case Spotlight: Move From SSAS to Snowflake

The Challenge:

One of the world’s largest cashback websites was using SSAS cubes on Hadoop to track business critical data such as advertising efficacy and granular sales breakdowns. Their system could not scale, taking 23 hours of preparation to produce 24 hours worth of data.

The Solution:

AtScale’s Universal Semantic Layer™ enabled the enterprise to migrate its data to Snowflake without interrupting analysts using Tableau and Excel. Data now refreshes in minutes, and query responses take seconds.

Learn How to Improve Query Performance


Blog: What is a Universal Semantic Layer? Why Would I Want One?

In BI, the key abstraction used in the majority of implementations is called the “semantic layer." Learn the uses of the semantic layer.

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Brief: Why a Universal Semantic Layer is Critical to your Data Architecture

Read this knowledge brief to learn more about the benefits of a Universal Semantic Layer.

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Blog: The Universal Semantic Layer. More Important than Ever.

In this post, we dig a little deeper and talk about how a Universal Semantic Layer (USL) should be a critical element of your modern analytics stack.

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