Databricks Watch posted an update
Databricks says spatial SQL queries and spatial joins now run on Lakehouse//RT, with performance up to 38 times faster. That could matter for teams working with location data, where heavy spatial queries can make analysis drag.
Why it mattersThe company’s announcement is a useful signal about database performance, though the supplied detail does not say which workloads see the biggest gains or describe the comparison behind the figure. “Up to” is doing its usual bit of careful lifting. For teams already using Lakehouse//RT, the practical question is whether their own geospatial workloads benefit enough to change what they run there.
Discuss: Would a claimed maximum speed-up change where you run geospatial workloads, or do you need benchmark details before taking it seriously?
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