Modernizing OLAP for the Cloud: Why Legacy BI Needs a Semantic Upgrade

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Organizations that have relied on OLAP cubes for years are hitting a wall. The traditional OLAP approach—great for fast, multidimensional analysis—was never designed for the modern cloud data ecosystem. And with the rise of cloud data platforms like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, those old methods now create more problems than they solve.

AtScale is helping enterprises bridge this gap, bringing the power of OLAP into the modern era with cloud-native technology.

The Problem with Traditional OLAP

Classic OLAP solutions, like SSAS, made sense in the on-prem world. They provided rich, interactive data experiences for Excel and BI tool users. But today, those same tools create friction. Here’s why:

  • Rigid infrastructure: On-premise OLAP cubes can’t scale dynamically with your cloud data warehouse.
  • Data movement: Data has to be extracted, transformed, and loaded into the cube, which creates latency and governance headaches.
  • Limited agility: Building or modifying cubes is complex and time-consuming, holding back self-service analytics.

If your organization still uses legacy OLAP tools, it will likely face performance issues, rising maintenance costs, and an architecture that is no longer future-proof.

A New Approach: Cloud-Native OLAP with AtScale

AtScale delivers a semantic layer that brings OLAP capabilities to the cloud—without the tradeoffs. It’s not about migrating your cubes. It’s about rethinking them.

With AtScale, organizations can:

  • Centralize metrics definitions: Govern metrics in one place and make them accessible to all analytics tools and users.
  • Enable multidimensional analysis at scale: Let users slice and dice live data using Excel, Tableau, Power BI, and more—without moving the data.
  • Accelerate performance: AtScale’s intelligent query virtualization and caching reduce time-to-insight on cloud data platforms.
  • Reduce cost and complexity: Eliminate cube maintenance and simplify your stack with a modern semantic layer.

Real Results from Real Companies

Financial services, insurance, manufacturing, and retail enterprises have already used AtScale to:

  • Sunset legacy OLAP environments
  • Reduce analytics infrastructure costs
  • Deliver governed, self-service BI on cloud data platforms

With AtScale, you can empower your business users with Excel-like experiences—on top of live cloud data—while ensuring your data team has full control and scalability.

Ready to Modernize?

OLAP isn’t dead—it just needs a modern foundation. AtScale’s semantic layer brings OLAP’s powerful analytical capabilities into the cloud age, letting you preserve the good while ditching the bad.

If you’re looking to finally retire SSAS or other legacy OLAP tools and build a future-ready analytics environment, AtScale is your bridge to the modern data stack. 

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