Every sensor deployment hits the same wall. Data volumes climb, query patterns shift from simple lookups to time-range aggregates, and the database that handled your pilot starts falling apart in production. Most teams end up choosing between patching it until it breaks again or splitting analytics into a second system. Tiger Data extends PostgreSQL with time-series primitives, columnar storage, and lifecycle automation, so your sensor data stays fast, fresh, and queryable on one database, at any scale. Teams like Waterbridge and Axpo handle millions of sensor readings per day this way, without pipelines, lag, or operational sprawl. Stop by booth 1342 at Sensors Converge to see it in action. Book a time to meet with us!