A company saved 98% in cloud costs by building their own purpose-built storage engine for geospatial data. They needed high write performance, unlimited parallelism, and small disk size. They accepted trade-offs in read performance and consistency guarantees.
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Well, here’s the thing…Why aren’t we just using a database, purpose built for geospatial data?What sort of data do we need to store?What we’ve builtThe result: A 98% reduction in cloud cost and faster everythingSort: