Скачать или смотреть Snowflake, Databricks, and the Semantic Layer Debate: Why Openness Wins

In this clip, AtScale CTO Dave Mariani and industry analyst Andrew Brust unpack the growing competition in the semantic layer market, including new offerings like Snowflake Semantic Views and Databricks Metric Views, and what separates universal semantic layers from proprietary ones.

Andrew shares how GigaOm’s evaluation framework focuses on fully available, universal platforms, while Dave explains why the semantic layer shouldn’t live inside a BI tool or data warehouse.

📊 Key discussion points:
How Snowflake and Databricks define “semantic layers”
Why embedded or “shifted” semantic layers limit flexibility
The difference between metric views and universal semantics
Why open, agnostic architectures are essential for governed AI and analytics

💬 “If you don’t have a semantic layer, everything becomes a DIY mess — flexible, but not disciplined.” – Andrew Brust

Learn more about the semantic layer: https://www.atscale.com/glossary/sema...

Learn more about AtScale:
Website: https://www.atscale.com/
LinkedIn:   / atscale-inc-  
GitHub: https://github.com/AtScaleInc