Top reasons why shift to spark

This blog has been moved to new address:

– Fast, in-memory (100x faster) or disk (2-10x faster). See Daytona GraySort contest and Official Result
– Usability: rich APIs (Scala, Java, Python), concise, interactive shell


LoC of Spark in comparison with other projects


LoC of Spark core-framework and its integrated libraries


– Well designed, unified: Spark is a general platform and SparkSQL, SparkStreaming, GraphX, MLib are standard libraries included with Spark. These libraries provide a wide range of features that support multiple usages.
– Concrete foundation: Databricks & UC Berkeley AMPLab & Community
– Many adopters: Amazon, Yahoo!, Autodesk, Technicolor, Baidu, Celtra, eBay Inc., IBM Almaden, SamSung SDS, Sonny, …

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