Context Is Everything: A Look at Strategy Mosaic vs. AtScale

Your metrics don't agree with each other. Revenue means one thing in your warehouse, something different in your BI tool, and something else entirely when an AI agent tries to answer a question about it.

That's not a data quality problem. It's a context problem, and it gets worse as AI adoption grows. 

Join us for a 45-minute webinar where we put Strategy Mosaic and AtScale head-to-head across the dimensions that matter most, so you can choose the semantic layer that fits your stack. 

What we'll cover: 

• Governance that spans your whole stack: How Mosaic Sentinel delivers continuous observability across BI tools, applications, and AI agents, and where AtScale's governance scope starts and stops.
• Business-user modeling vs. engineering-led modeling: Mosaic Studio's no-code authoring vs. AtScale's (GUI Based, slightly more IT focused), and when each model creates adoption friction at scale.
• Modeling Linking – Strategy's ability to reuse models vs. AtScale’s inability to create deep nested models. AtScale does NOT use caching of inherited models. 
• Caching and query performance: AtScale's adaptive caching adjusts to query patterns over time. Mosaic's in-memory architecture delivers instant query results without warmup, we'll show what that means for your users at scale.
• AI readiness: Why AI needs governed context to return trustworthy answers, and how Mosaic's prompt modifiers and unlimited token usage change output quality.
• Pricing at scale: Named-user pricing vs. per-object consumption models, and what that difference costs as adoption expands across domains and teams.

Why attend: 

• Practical architecture guidance: Learn how each tool fits alongside dbt, Snowflake, Databricks, and your existing BI stack without replacing what's working.
• Scale without the adoption tax: Understand the real-world compute and licensing costs associated with different architectural models, so you aren't penalized for high query volumes as user adoption grows.
• Future-proof your AI strategy: See exactly what it takes to build a semantic foundation that serves reliable, governed context to emerging AI agents, not just traditional dashboards.