presto、druid、sparkSQL、kylin的对比分析，如性能、架构等，有什么异同？ - 知乎



presto、druid、sparkSQL、kylin的对比分析，如性能、架构等，有什么异同？ - 知乎

其中你列的presto、druid、sparkSQL、kylin可以分为三类。其中presto和spark sql都是解决分布式查询问题，提供SQL查询能力，但数据加载不一定能保证实时。Druid是保证数据实时写入，但查询上不支持SQL，或者说目前只支持部分SQL，我个人觉得适合用于工业大数据，比如一堆传感器实时写数据的场景。Kylin是MOLAP，就是将数据先进行预聚合，然后把多维查询变成了key-value查询。


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