Hi Luke I find a comparison between Druid that can provide sub-second OLAP queries an and ES[1]. Maybe there are some identity of views between Kylin and ES.
Yes, compare with HBase that ES has no standout features to invest to this path and Kylin do lots of internal optimization on HBase storage. I will glad to share the comparison to community when got some progress. Thanks for your reply. [1] http://druid.io/docs/latest/comparisons/druid-vs-elasticsearch.html > 在 2017年4月6日，下午5:19，Luke Han <[email protected]> 写道： > > ES is not a target storage for Kylin so far, at least not on coming release > plan. > > There are already many storage options in Hadoop Ecosystem, I don't think > there's strong reason to invest on this path. > > And I don't remember there's any benchmark or comparison available today for > your purpose. > Please share with us if you have chance to do it:) > > Thanks. > > > Best Regards! > --------------------- > > Luke Han > > On Wed, Apr 5, 2017 at 6:17 PM, lufeng <[email protected] > <mailto:[email protected]>> wrote: > Hi All > > Now if I want to build a OLAP platform to analyze our huge data, the first > impression is using Hive，but it can not match our real-time query needs. Then > I found lots of companies used ES to build their OLAP engine before like > tencent’s Hermes. So I want to know that what’s the difference between ES > and Apache Kylin from different dimensions like filter, aggregation queries > or etc. > > * Performance > * Flexible queries > * Data Model > * BI integration > * … > > After Kylin release latest architecture that can support different storage > engine, I found that Kylin will support ES[1] as it’s backend storage engine. > So I think ES is ROLAP engine that lots of people use ES as NoSQL DB and > Kylin is a MOLAP engine. > > I would love to hear some feedback for my confusions. > > Thanks. > > [1] https://github.com/apache/kylin/pull/23 > <https://github.com/apache/kylin/pull/23>
