You can check previous discussion: https://mail-archives.apache.org/mod_mbox/kylin-dev/201503.mbox/%3ccakmqroy0fjzluu0mgo5aajz2ulb3t0qjknhqd+wv1oxd5pk...@mail.gmail.com%3E
Zhong, Yanghong <yangzh...@ebay.com> 于2018年9月12日周三 下午6:05写道： > Hi Vishnu, > > Suppose there are 20 dimensions, d1,d2...n20 and you have prebuild cuboid > [d1,d2]. The cuboid [d1, d2, ..., d20] owns 1 billion rows, while [d1,d2] > owns 1k rows. Obviously if your query hits cuboid [d1, d2], it's better to > use [d1,d2] to answer your query in Kylin rather than [d1, d2, ..., d20] in > Druid to answer your query. > > Another strong point of using Kylin is it's better for range filtering as > it utilizes sorted key value store, HBase. > > > Druid has obvious advantage at its scan performance if the query related > columns are not too many by the following two aspects: > - it utilizes columnar storage for effective storing > - before query, the data should be all loaded into memory > > Best regards, > Yanghong Zhong > > > On 9/12/18, 5:44 PM, "vishnu" <pspk2...@gmail.com> wrote: > > In what context apache kylin is better than apache druid? or > vice-versa. > > -- > Sent from: > https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fapache-kylin.74782.x6.nabble.com%2F&data=02%7C01%7Cyangzhong%40ebay.com%7C3e89491dea5c49a69a7a08d6189460cc%7C46326bff992841a0baca17c16c94ea99%7C0%7C0%7C636723422885782475&sdata=iFql6SQBCDHslVj7ggM78eOvs2vOP53HDj5ZYnuKJsg%3D&reserved=0 > > > -- Best regards, Shaofeng Shi 史少锋
