DBA-Bench: Benchmark for LLM-Based Database Operations Agents

Researchers have pinpointed four significant discrepancies between the current assessments of LLM-based database agents and their actual performance in production settings: fidelity in live environments (multi-turn interactions with an active database), the scale and complexity of observation spaces (causal analysis involving thousands of time series, business logs, and simultaneous activities), the openness of solution spaces (various remediation options with differing operational trade-offs), and the complexity and coverage of scenarios (faults propagating through internal mechanisms and operational areas). To tackle these issues, they introduce DBA-Bench, a benchmark aimed at ensuring production fidelity, prioritizing outcomes, and enabling reproducible scenarios. DBA-Bench operates within instrumented PostgreSQL environments featuring active workloads and multi-source observations, defining success through measurable recovery or fault resolution under safety constraints.