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When you open a ride-sharing app and request a cab, the system instantly answers: which drivers are near you right now? That sounds simple. But underneath that answer is one of the more interesting en
Why GeoHash Was Not Enough for Uber GeoHash works well for basic proximity search — finding nearby restaurants or nearby drivers. But Uber's geo problems were more complex than that. Uber needed to an
Why Google Needed Something Different GeoHash and H3 are both solid systems, but they share a fundamental limitation: they both start by projecting Earth onto a flat surface — a rectangle or a set of
The Problem It Solves Databases are excellent at one thing: searching sorted data fast. A B-Tree index can answer WHERE age > 25 or WHERE city = 'Delhi' in milliseconds because these values sit on a s
