A Deep Dive into PolyScale’s Architecture
Blog post from Neon
PolyScale, in collaboration with Neon, offers an innovative solution for enhancing database performance by integrating automated caching into the serverless Postgres environment. Neon separates storage and compute for features like autoscaling and bottomless storage, while PolyScale functions as a fully autonomous sidecar cache that reduces database load and provides low-latency access without requiring code changes. The integration allows users to modify their connection string to route queries through PolyScale's Point of Presence, where its caching algorithms intelligently manage cache time-to-live and invalidate stale data using a multi-layer approach. PolyScale's caching capabilities are enhanced by machine learning algorithms that optimize caching decisions in real-time, leading to significant reductions in query response times globally. Users can take advantage of the PolyScale performance test to measure latency improvements, demonstrating how PolyScale can provide sub-millisecond responses for cached queries by minimizing geographic latency and database load.