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Immanuel Trummer

2 papers indexed

arxivcs.DBcs.AIcs.CL2026-07-22

Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents

Jiale Lao, Immanuel Trummer

Traditional query processing engines require continuous development and extensions to support new techniques and user requirements, and in some cases, entirely new systems must be built from scratch. However, these engines are difficult to extend due to their internal complexity,…

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arxivcs.DBcs.AI2026-07-08

Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for Database Bypass

Victor Giannakouris, Immanuel Trummer

Analytical workloads operating on data stored in external database systems face a fundamental bottleneck: data access is guarded entirely by the database driver, like JDBC or ODBC, forcing all reads through query execution and other driver layers that are not designed for bulk co…

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