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Pivotal Data Fabric - Greenplum SQLfire Gemfire PivotalHD GemFire - draw ram from many different servers up to 100's of nodes - change I/O problems ($$$) to CPU problems (cheap) Continuous Query (Gemfire) - you can subscribe to it for updates on events GemFire - objects SQLfire - relational HAWQ - Hadoop with Query Greenplum GPFX - connector to Hadoop ILM issues solved via Columnar for cold data and row oriented for hot data on partional level Compression - GP is the data processing horsepower for in-data algorithms (MadLib) - all open source GEMfire => SQLfire => Greenplum => PivotalHD. No problem to fast or too BIG Gemfire is streaming sensors then batch dump to Greenplum Gemfire gets data in, SQLfire gets data out GP extracts subset (microcubes) into SQLfire for realtime GEMfire and work sync over unreliable WAN links --- or so the nerds say