When Scaling Memory‑Heavy AI Notetakers, the Database Becomes the Bottleneck
Plaud’s popular AI notetaker stores metadata in MySQL and audio blobs in S3, a pattern that works at launch but collapses when memory devices scale. The split forces a hidden consistency assumption that fails for instant playback, leading to minutes‑long latency. Engineers building data‑intensive products must keep metadata and payload tightly coupled or adopt unified storage to guarantee real‑time retrieval.