Scale
The semantic layer market has never been louder or harder to read. Dozens of vendors now claim semantic capabilities, from BI-native models and warehouse-native views to virtualization platforms, metrics layers and standalone products. The label looks the same. Underneath, they are worlds apart and so are the outcomes they produce at enterprise scale.
This is one of the most consequential decisions on AI roadmaps and enterprises cannot afford to get it wrong. On a slide, every option looks capable. The tradeoffs surface in production, when concurrency spikes, AI agents start querying at scale and the warehouse bills skyrocket. This whitepaper cuts through the noise and shows what to actually evaluate.
WHAT’S INSIDE:
- The current market landscape
- Vendor evaluation criteria
- Trade-offs of different architectures
- Which approach actually scales for enterprise AI
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