Spatial Clarity, Granular Detail

Geographic data only creates value when users can interact with it fluidly - without waiting for queries or wrestling with overloaded maps.

ChartFactor’s geo capabilities are built to support just that kind of experience from day one. Interactive maps render client-side, keeping zooming, filtering, and exploration responsive even under heavy use. As users move through different levels of detail, precision adjusts naturally through techniques like geohash clustering; revealing insight without visual noise.

Behind the scenes, recent improvements make large-scale geo analytics far more efficient as well.

Support for partitioned and clustered tables - including geohash-based strategies - dramatically reduces scan costs and improves query performance on massive spatial datasets. Approximate count-distinct operations (where supported) also allow teams to work with multi-billion-row tables quickly and cost-effectively.

The result: geo analytics that feel immediate to users, while remaining practical and scalable for product teams.