Inside the AtScale and Snowflake Partnership: Why Snowflake Embedded AtScale in Semantic Views

The Snowflake Semantic Views XMLA Endpoint, powered by AtScale, is an integrated product offering. It’s the only semantic solution to have this distinction. It’s not something bolted on the side of Snowflake; it’s the bet Snowflake made on AtScale.

Don’t Let Microsoft Be Your Warden

Microsoft just made the case for AtScale by playing Warden Norton, the prison boss from "The Shawshank Redemption." On Tuesday, Sara Vredevoogd from Microsoft's Power BI team announced that Microsoft 365 Copilot can now query Power BI semantic models directly.

Snowflake Semantic Views vs. Universal Semantic Layer: Which One Does Your Enterprise Actually Need?

Snowflake Semantic Views let you define metrics, dimensions, and relationships directly inside Snowflake, with no extra tooling required. A universal semantic layer sits above your warehouse and works across Snowflake, other data platforms, and every BI tool you run on.

Why ChatGPT Gives Different Answers to the Same Question on Your Business Data

Ask ChatGPT "what was Q1 revenue?" against your warehouse on Monday and you get $42.3M. Ask it the same question on Tuesday and you get $38.1M. Ask it Wednesday with a different phrasing and you get a number that isn't consistent.

A Skill or README Isn’t a Semantic Layer

Why not just give the agent a skill? A bunch of people asked this at this week’s Databricks Data + AI Summit. Write down what “revenue” means, drop the skill next to your data, and skip the semantic layer.

It’s Got to Be the Semantic Layer, Baby

AtScale's Dave Mariani and Snowflake's Carl Perry discuss why governed semantics, not a smarter LLM, is what makes AI agents trustworthy. For years, business intelligence ran on a human workaround. When two reports disagreed about "revenue," a trained BI analyst would intervene.

Power BI Was Built as a Client. Stop Using It as a Foundation.

Microsoft wants to own your semantics. We built the universal layer that keeps them yours. Power BI is a strong BI client. It was never an enterprise semantic layer, and the gap between those two jobs is now showing up.

Your AI Isn’t Expensive. It’s Guessing.

Inside a Tier 1 bank's $9-million-a-year AI rediscovery tax, and the architectural fix that cut compute costs by as much as 21,903x. Every time an analyst at a Tier 1 bank asks, "What was revenue in the Northeast last quarter?" there are significant costs involved.

A Tech Power Player in the Year the Semantic Layer Broke Through

Chris Lynch has been saying the same thing for years. The market just caught up. For years, I’ve been a board member of AtScale, and Chris Lynch reiterated the importance of AI changing everything for semantic.

A Guide to Semantic Layers for Snowflake CoCo and CoWork

How Snowflake Semantic Views reach CoWork, CoCo, Power BI, and Excel without leaving the platform. At Snowflake Summit 26, they renamed Cortex Code to CoCo and turned Snowflake Intelligence into CoWork, a personal agent for every knowledge worker.

Snowflake Partnered with AtScale for a Reason: Your Semantic Layer Is Too Important to Surrender

Snowflake has embedded AtScale as the only semantic layer in its platform, extending Semantic Views to Power BI and Excel, ensuring they receive the same accurate metrics your AI gets.

Snowflake Just Popped 35%. We’re Not Surprised. And in a Few Days, You Won’t Be Either.

Kevin McLaughlin at The Information had a piece this week we've been passing around the office. Snowflake is up 35% on the quarter. Salesforce is down 30% on the year. Kevin makes a strong case that the gap between those companies should be noted.