Thanks to the ones who gave comments. This thread is still open for wider discussion. I plan to update the home page in Feb, after the Chinese New Year holiday.
Best regards, Shaofeng Shi 史少锋 Apache Kylin PMC Email: shaofeng...@apache.org Apache Kylin FAQ: https://kylin.apache.org/docs/gettingstarted/faq.html Join Kylin user mail group: user-subscr...@kylin.apache.org Join Kylin dev mail group: dev-subscr...@kylin.apache.org Luke Han <luke...@gmail.com> 于2020年1月19日周日 下午2:02写道： > +1, > > Kylin is helping many companies to manage their Golden Data for Big Data, > and the most of use cases are for Analytics purpose. > From OLAP to Analtyics DW is the destination of Kylin. > > looking forward to the legend to evolve to the next stage. > > Cool! > > Best Regards! > --------------------- > > Luke Han > > > On Mon, Jan 13, 2020 at 3:12 PM codingfor...@126.com <codingfor...@126.com> > wrote: > >> +1. >> Maybe kylin can support materialized views someday. >> >> >> 在 2020年1月13日，14:58，Xiaoxiang Yu <x...@apache.org> 写道： >> >> +1 >> Great suggestion. And I wish in the future, Kylin could support more and >> more data source and provided better performance when build segment . >> >> >> >> >> -- >> *Best wishes to you ! * >> *From ：**Xiaoxiang Yu* >> >> At 2020-01-12 20:32:12, "ShaoFeng Shi" <shaofeng...@apache.org> wrote: >> >> Hello, Kylin developers and users, HAPPY NEW YEAR 2020! >> >> In last month, we released Kylin 3.0, with the new Real-time streaming >> feature and a Lambda architecture. This allows our users to host only one >> system for both batch and real-time analytics, and then can query batch and >> streaming data together. >> >> If you look at Kylin's home page, its slogan is still the "OLAP Engine >> for Big data", which was made 5 years ago when it was born. While today, >> Kylin's capability has been verified beyond an "OLAP engine". I visited >> many Kylin users in China, US, Euro in last year, and have got many >> different scenarios: >> >> 1. eBay initiated the Kylin project to offload analytical workloads from >> Teradata to Hadoop; Kylin serves the online queries with high performance >> and high availability. Till today, Kylin serves millions of queries every >> day, most are in < 1 seconds; >> 2. China Unionpay and CPIC use Kylin to replace IBM Cognos cubes. One >> Kylin cube replaced more than 100 Cognos cubes, with better building >> performance and query performance. >> 3. China Construction Bank uses Hadoop + Kylin to offload the Greenplum. >> Some systems have been migrated to Kylin successfully. >> 4. Yum (KFC) and several other users are using Kylin to replace Microsoft >> SSAS. >> 5. Meituan, Ctrip, JD, Didi, Xiao Mi, Huawei, OLX group, autohome.com.cn, >> Xactly, and many others are using Kylin as the platform of their DaaS (Data >> as a Service), providing data service to their thousands of internal >> analysts and tens of thousands of external tenants. >> >> Now let's look at the definition of Data warehouse [1]: >> >> "*A data warehouse is a subject-oriented, integrated, time-variant and >> non-volatile collection of data in support of management's decision-making >> process.*" >> >> In Kylin, each model/cube is created for a certain subject; Kylin >> integrates well with Hive, Hadoop, Spark, Kafka, and other systems; Kylin >> incremental loads the data by time, build the cube and then save as >> segments (partitions), and they are non-volatile unless you refresh them; >> During the analysis (roll-up, drill-down, etc), the data is always >> consistent. Kylin provides SQL interface and JDBC/ODBC/HTTP API for you to >> easily connect from BI/visualization tools like Tableau and others. >> >> All in all, you can see that users are using Kylin not just as a SQL >> engine, but also as an Analytical Data Warehouse, for very large scale data >> (PB scale). In the world of big data, Kylin is unique. Its design is >> elegant, its architecture is scalable and pluggable. In order to give >> Kylin more visibility and can be discovered by more people, I propose to >> change Kylin's position/slogan from the "OLAP engine for big data" to >> "Analytical Data warehouse for big data". >> >> Please feel free to share your comments. >> >> [1] >> https://www.1keydata.com/datawarehousing/data-warehouse-definition.html >> >> Best regards, >> >> Shaofeng Shi 史少锋 >> Apache Kylin PMC >> Email: shaofeng...@apache.org >> >> Apache Kylin FAQ: https://kylin.apache.org/docs/gettingstarted/faq.html >> Join Kylin user mail group: user-subscr...@kylin.apache.org >> Join Kylin dev mail group: dev-subscr...@kylin.apache.org >> >> >> >>
