Learnable Databases: Machine Learning Driven Data Management Systems

Dr. Sudesh Rani

Abstract: Learnable databases represent a new paradigm in database system design where machine learning models are integrated into core database components such as indexing, query optimization, and cost estimation. Traditional database management systems rely on manually engineered heuristics that often fail to adapt to dynamic workloads. This research proposes a learnable database architecture, mathematical model, and machine learning?based query optimizer. Experimental evaluation demonstrates improved query performance, higher throughput, and better scalability compared with traditional database systems.

Keywords: Learnable Databases, Machine Learning, Query Optimization, Learned Indexes, Autonomous Databases