This buyer's guide covers key criteria for evaluating serverless databases for AI workloads, including compute-storage separation, open standards, scale-to-zero, connection models, and AI-native capabilities.

Google researchers propose linear elastic caching, which models cache management as a ski rental problem, using lightweight machine learning to dynamically adjust cache size. In Spanner production, it reduced memory usage by 15.5%, TCO by ~5%, with only 5.5% more cache misses and negligible I/O impact.