Big data processing

For data science analysis and geospatial analysis, encountering big data is more common than ever. MapD is incredibly fast when retrieving rows and return data to the client, making it really useful for powering real-time databases or for performing queries on huge datasets. 

MapD offers amazing speed-ups on processing big datasets compared to CPU-bound databases. Because of the high number of cores that each GPU card contains, paralleled processes can run faster. This means that datasets numbering in the billions can be queried and analyzed in milliseconds.

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