Technical and business white papers from HyperQuery™ research.
This technical white paper details the architecture of ASTRO™ (Autonomic SQL Transformation and Query Rewrite Optimization), covering the transform/optimize/perform flywheel, the rules library structure, forward chaining, and how the engine achieves deterministic, proof-verifiable output without any LLM dependency.
This white paper presents a quantitative framework for measuring the business value of SQL query optimization, including compute cost reduction, analyst productivity gains, and time-to-insight improvements across cloud and on-premises database environments.
An academic-style paper examining how the formal mathematical foundations of SQL — relational algebra and relational calculus — enable proof-verifiable query transformations that preserve semantics and guarantee correctness, unlike statistical language model approaches.