DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents
LLM-based database agents show promise, but differences in task scope, testbeds, and success criteria hinder direct comparison. A shared benchmark must also preserve the operational conditions that determine whether diagnosis and remediation succeed in practice. We present DBA-Bench, guided by operational realism, outcome-first evaluation, and controlled scenario reproducibility. It evaluates agents in live PostgreSQL and distributed TiDB deployments with active workloads, stateful behavior, and multi-source observations. Success requires satisfying scenario-specific operational objectives without violating safety constraints. The primary evaluation covers 231 bounded scenarios across fiv...
| Authors | Junming Chen, Junyang Jiang, Xu Chen et al. |
|---|---|
| Primary category | cs.DB |
| Published | 24 July 2026 |
| Last updated at source | 10 October 2026 |
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