Comparisons & Evaluations

Evaluating semantic layers, AI analytics platforms, and governed query engines is more nuanced than feature matrices and benchmark claims. This collection brings research-backed comparisons across multiple dimensions: accuracy on real enterprise data, cost structure, governance capabilities, and the architectural tradeoffs between different approaches.

You'll find vendor-specific comparisons (dbt vs. Cube, Looker vs. Power BI, Cortex Analyst vs. Genie), alternative analyses for each major platform, pricing breakdowns, and buyer frameworks that help you ask the right questions before you commit. Whether you're evaluating text-to-SQL vs. semantic layers, choosing between build vs. buy, or comparing pricing models across vendors, these posts provide the context and numbers you need to decide.

Each comparison prioritizes honesty over advocacy — including the genuine strengths of each option and the cases where each approach wins. Use these as input to your evaluation, not as the final answer: your constraints and priorities may differ from the benchmarks.