Google Paid $2.6 Billion to Prove AtScale Right About Semantics

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The Looker rename is a small piece of news with big subtext

The Looker rename is news. The bigger story is what it means for the semantic layer in the AI era.

Google is renaming Looker Studio back to Data Studio. The seemingly simple move sends a big signal: the semantic layer is the new strategic battlefield, and Google whiffed when it bought and repositioned Looker in 2019. And AtScale got it right.

A quick recap. Google bought Looker for $2.6 billion in 2019 and renamed its existing Data Studio product to Looker Studio in 2022. Three and a half years later, that decision is being undone.

Seggi Mir, Looker’s first forward-deployed engineer, wrote the postmortem and it is worth reading in full. His point is that a brand built on governance and precision got blurred into a brand built on quick visualizations, and the precision is what got lost.

Why the semantic layer is the real story

Every AI keynote now talks about context. What the industry is really converging on is semantics, the layer that defines what revenue means, what an active customer is, what churn actually counts as. Without that layer, AI agents improvise on the data instead of computing against it. AtScale leads in building it.

AtScale gives you a universal semantic layer with a compute engine that optimizes executable SQL underneath it. You define a metric once, and it computes the same way in any compute platform (Snowflake, Databricks, etc) and any client (any LLM, Excel, Power BI) you point at it. That is the difference between a semantic layer that catalogs context and one that holds up in production.

Two recent moves show how fast the tide is turning. In February 2026, Snowflake Ventures led AtScale’s strategic equity round because they recognize how critical the semantic layer is to what gets built on top of the warehouse. And in January 2026, AtScale joined the Open Semantic Interchange to help push for open, independent, vendor-neutral semantic standards. Open semantics, not captive ones, are what the next analytics era needs.

Google whiffed. The semantic layer didn’t.

Google’s rename is a small piece of news with a big subtext. The semantic layer is moving from supporting cast to main stage, and the companies that treated it as core infrastructure all along are the ones now in the right seat. AtScale is one of them, and we’re glad to see the rest of the industry catching up.

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