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Cornell University
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GenDB achieves significantly better performance than existing query engines by automating code generation tailored to specific workloads, fundamentally changing how we approach query processing.
Bypassing database drivers can lead to up to 27x speedups in analytical workloads by directly reading storage files with LLM-assisted code synthesis.
LLMs can now synthesize query execution code that *outperforms* hand-optimized database engines, suggesting a paradigm shift in query processing.
