Nam, We are planning to release a kylin5-beta around March or April. The GA of kylin5 would be around July this year if everything goes well.
Cheers Yang On Tue, Mar 5, 2024 at 6:54 PM Nam Đỗ Duy <na...@vnpay.vn.invalid> wrote: > Hello Xiaoxiang, > > How are you, my boss is very interested in Kylin 5. so he would like to > know when Kylin 5 will be released...could you please provide an > estimation? > > Thank you very much and best regards > > > > > > On Thu, 18 Jan 2024 at 10:05 Nam Đỗ Duy <na...@vnpay.vn> wrote: > > > Good morning Xiaoxiang, hope you are well > > > > 1. JDBC source is a feature which in development, it will be supported > > later. > > > > =============== > > > > May I know when will the JDBC be available? as well as is there any > change > > in Kylin 5 release date > > > > Thank you and best regards > > > > > > On Mon, Dec 11, 2023 at 2:15 PM Xiaoxiang Yu <x...@apache.org> wrote: > > > >> 1. JDBC source is a feature which in development, it will be supported > >> later. > >> > >> 2. Kylin supports kerberos now, I will write a doc as soon as possible. > >> (I will let you know.) > >> > >> 3. I think ranger and Kerberos are not doing the same things, one for > >> authentication, one for authorization. So they cannot replace each > other. > >> Ranger can integrate with Kerberos, please check ranger's website for > >> information. > >> > >> ------------------------ > >> With warm regard > >> Xiaoxiang Yu > >> > >> > >> > >> On Sat, Dec 9, 2023 at 8:01 AM Nam Đỗ Duy <na...@vnpay.vn.invalid> > wrote: > >> > >> > Thank you Xiaoxiang for your reply > >> > > >> > ————————————- > >> > Do you have any suggestions/wishes for kylin 5(except real-time > >> feature)? > >> > ————————————- > >> > Yes: please answer to help me clear this headache: > >> > > >> > 1. Can Kylin access the existing star schema in Oracle datawarehouse ? > >> If > >> > not then do we have any work around? > >> > > >> > 2. My team is using kerberos for authentication, do you have any > >> > document/casestudy about integrating kerberos with kylin 4.x and kylin > >> 5.x > >> > > >> > 3. Should we use apache ranger instead of kerberos for authentication > >> and > >> > for security purposes? > >> > > >> > Thank you again > >> > > >> > On Thu, 7 Dec 2023 at 15:00 Xiaoxiang Yu <x...@apache.org> wrote: > >> > > >> > > I guess the release date should be 2024/01 . > >> > > Do you have any suggestions/wishes for kylin 5(except real-time > >> feature)? > >> > > > >> > > ------------------------ > >> > > With warm regard > >> > > Xiaoxiang Yu > >> > > > >> > > > >> > > > >> > > On Thu, Dec 7, 2023 at 3:44 PM Nam Đỗ Duy <na...@vnpay.vn.invalid> > >> > wrote: > >> > > > >> > >> Thank you very much xiaoxiang, I did the presentation this morning > >> > already > >> > >> so there is no time for you to comment. Next time I will send you > in > >> > >> advance. The meeting result was that we will implement both druid > and > >> > >> kylin > >> > >> in the next couple of projects because of its realtime feature. > Hope > >> > that > >> > >> kylin will have same feature soon. > >> > >> > >> > >> May I ask when will you release kylin 5.0? > >> > >> > >> > >> On Thu, Dec 7, 2023 at 9:26 AM Xiaoxiang Yu <x...@apache.org> > wrote: > >> > >> > >> > >> > Since 2018 there are a lot of new features and code refactor. > >> > >> > If you like, you can share your ppt to me privately, maybe I can > >> > >> > give some comments. > >> > >> > > >> > >> > Here is the reference of advantages of Kylin since 2018: > >> > >> > - https://kylin.apache.org/blog/2022/01/12/The-Future-Of-Kylin/ > >> > >> > - > >> > >> > > >> > >> > >> > > >> > https://kylin.apache.org/blog/2021/07/02/Apache-Kylin4-A-new-storage-and-compute-architecture/ > >> > >> > - https://kylin.apache.org/5.0/docs/development/roadmap > >> > >> > > >> > >> > ------------------------ > >> > >> > With warm regard > >> > >> > Xiaoxiang Yu > >> > >> > > >> > >> > > >> > >> > > >> > >> > On Wed, Dec 6, 2023 at 6:53 PM Nam Đỗ Duy <na...@vnpay.vn.invalid > > > >> > >> wrote: > >> > >> > > >> > >> >> Hi Xiaoxiang, tomorrow is the main presentation between Kylin > and > >> > >> Druid in > >> > >> >> my team. > >> > >> >> > >> > >> >> I found this article and would like you to update me the > >> advantages > >> > of > >> > >> >> Kylin since 2018 until now (especially with version 5 to be > >> released) > >> > >> >> > >> > >> >> Apache Kylin | Why did Meituan develop Kylin On Druid (part 1 of > >> 2)? > >> > >> >> < > >> > >> >> > >> > >> > >> > > >> > https://kylin.apache.org/blog/2018/12/12/why-did-meituan-develop-kylin-on-druid-part1-of-2/ > >> > >> >> > > >> > >> >> > >> > >> >> On Wed, Dec 6, 2023 at 9:34 AM Nam Đỗ Duy <na...@vnpay.vn> > wrote: > >> > >> >> > >> > >> >> > Thank you very much for your prompt response, I still have > >> several > >> > >> >> > questions to seek for your help later. > >> > >> >> > > >> > >> >> > Best regards and have a good day > >> > >> >> > > >> > >> >> > > >> > >> >> > > >> > >> >> > On Wed, Dec 6, 2023 at 9:11 AM Xiaoxiang Yu <x...@apache.org> > >> > wrote: > >> > >> >> > > >> > >> >> >> Done. Github branch changed to kylin5. > >> > >> >> >> > >> > >> >> >> ------------------------ > >> > >> >> >> With warm regard > >> > >> >> >> Xiaoxiang Yu > >> > >> >> >> > >> > >> >> >> > >> > >> >> >> > >> > >> >> >> On Tue, Dec 5, 2023 at 11:13 AM Xiaoxiang Yu < > x...@apache.org> > >> > >> wrote: > >> > >> >> >> > >> > >> >> >> > A JIRA ticket has been opened, waiting for INFRA : > >> > >> >> >> > https://issues.apache.org/jira/browse/INFRA-25238 . > >> > >> >> >> > ------------------------ > >> > >> >> >> > With warm regard > >> > >> >> >> > Xiaoxiang Yu > >> > >> >> >> > > >> > >> >> >> > > >> > >> >> >> > > >> > >> >> >> > On Tue, Dec 5, 2023 at 10:30 AM Nam Đỗ Duy > >> > <na...@vnpay.vn.invalid > >> > >> > > >> > >> >> >> wrote: > >> > >> >> >> > > >> > >> >> >> >> Thank you Xiaoxiang, please update me when you have > changed > >> > your > >> > >> >> >> default > >> > >> >> >> >> branch. In case people are impressed by the numbers then I > >> hope > >> > >> to > >> > >> >> turn > >> > >> >> >> >> this situation to reverse direction. > >> > >> >> >> >> > >> > >> >> >> >> On Tue, Dec 5, 2023 at 9:02 AM Xiaoxiang Yu < > >> x...@apache.org> > >> > >> >> wrote: > >> > >> >> >> >> > >> > >> >> >> >>> The default branch is for 4.X which is a maintained > branch, > >> > the > >> > >> >> active > >> > >> >> >> >>> branch is kylin5. > >> > >> >> >> >>> I will change the default branch to kylin5 later. > >> > >> >> >> >>> > >> > >> >> >> >>> ------------------------ > >> > >> >> >> >>> With warm regard > >> > >> >> >> >>> Xiaoxiang Yu > >> > >> >> >> >>> > >> > >> >> >> >>> > >> > >> >> >> >>> > >> > >> >> >> >>> On Tue, Dec 5, 2023 at 9:12 AM Nam Đỗ Duy > >> > >> <na...@vnpay.vn.invalid> > >> > >> >> >> >>> wrote: > >> > >> >> >> >>> > >> > >> >> >> >>>> Hi Xiaoxiang, Sirs / Madams > >> > >> >> >> >>>> > >> > >> >> >> >>>> Can you see the atttached photo > >> > >> >> >> >>>> > >> > >> >> >> >>>> My boss asked that why druid commit code regularly but > >> kylin > >> > >> had > >> > >> >> not > >> > >> >> >> >>>> been committed since July > >> > >> >> >> >>>> > >> > >> >> >> >>>> > >> > >> >> >> >>>> On Mon, 4 Dec 2023 at 15:33 Xiaoxiang Yu < > x...@apache.org > >> > > >> > >> wrote: > >> > >> >> >> >>>> > >> > >> >> >> >>>>> I think so. > >> > >> >> >> >>>>> > >> > >> >> >> >>>>> Response time is not the only factor to make a > decision. > >> > Kylin > >> > >> >> could > >> > >> >> >> >>>>> be cheaper > >> > >> >> >> >>>>> when the query pattern is suitable for the Kylin model, > >> and > >> > >> Kylin > >> > >> >> >> can > >> > >> >> >> >>>>> guarantee > >> > >> >> >> >>>>> reasonable query latency. Clickhouse will be quicker in > >> an > >> > ad > >> > >> hoc > >> > >> >> >> >>>>> query scenario. > >> > >> >> >> >>>>> > >> > >> >> >> >>>>> By the way, Youzan and Kyligence combine them together > to > >> > >> provide > >> > >> >> >> >>>>> unified data analytics services for their customers. > >> > >> >> >> >>>>> > >> > >> >> >> >>>>> ------------------------ > >> > >> >> >> >>>>> With warm regard > >> > >> >> >> >>>>> Xiaoxiang Yu > >> > >> >> >> >>>>> > >> > >> >> >> >>>>> > >> > >> >> >> >>>>> > >> > >> >> >> >>>>> On Mon, Dec 4, 2023 at 4:01 PM Nam Đỗ Duy > >> > >> <na...@vnpay.vn.invalid > >> > >> >> > > >> > >> >> >> >>>>> wrote: > >> > >> >> >> >>>>> > >> > >> >> >> >>>>>> Hi Xiaoxiang, thank you > >> > >> >> >> >>>>>> > >> > >> >> >> >>>>>> In case my client uses cloud computing service like > gcp > >> or > >> > >> aws, > >> > >> >> >> which > >> > >> >> >> >>>>>> will cost more: precalculation feature of kylin or > >> > clickhouse > >> > >> >> >> (incase > >> > >> >> >> >>>>>> of > >> > >> >> >> >>>>>> kylin, I have a thought that the query execution has > >> been > >> > >> done > >> > >> >> once > >> > >> >> >> >>>>>> and > >> > >> >> >> >>>>>> stored in cube to be used many times so kylin uses > less > >> > cloud > >> > >> >> >> >>>>>> computation, > >> > >> >> >> >>>>>> is that true)? > >> > >> >> >> >>>>>> > >> > >> >> >> >>>>>> On Mon, Dec 4, 2023 at 2:46 PM Xiaoxiang Yu < > >> > x...@apache.org > >> > >> > > >> > >> >> >> wrote: > >> > >> >> >> >>>>>> > >> > >> >> >> >>>>>> > Following text is part of an article( > >> > >> >> >> >>>>>> > https://zhuanlan.zhihu.com/p/343394287) . > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > >> > >> >> >> > >> > >> >> > >> > >> > >> > > >> > =============================================================================== > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > Kylin is suitable for aggregation queries with fixed > >> > modes > >> > >> >> >> because > >> > >> >> >> >>>>>> of its > >> > >> >> >> >>>>>> > pre-calculated technology, for example, join, group > >> by, > >> > and > >> > >> >> where > >> > >> >> >> >>>>>> condition > >> > >> >> >> >>>>>> > modes in SQL are relatively fixed, etc. The larger > the > >> > data > >> > >> >> >> volume > >> > >> >> >> >>>>>> is, the > >> > >> >> >> >>>>>> > more obvious the advantages of using Kylin are; in > >> > >> particular, > >> > >> >> >> >>>>>> Kylin is > >> > >> >> >> >>>>>> > particularly advantageous in the scenarios of > >> de-emphasis > >> > >> >> (count > >> > >> >> >> >>>>>> distinct), > >> > >> >> >> >>>>>> > Top N, and Percentile. In particular, Kylin's > >> advantages > >> > in > >> > >> >> >> >>>>>> de-weighting > >> > >> >> >> >>>>>> > (count distinct), Top N, Percentile and other > >> scenarios > >> > are > >> > >> >> >> >>>>>> especially > >> > >> >> >> >>>>>> > huge, and it is used in a large number of scenarios, > >> such > >> > >> as > >> > >> >> >> >>>>>> Dashboard, all > >> > >> >> >> >>>>>> > kinds of reports, large-screen display, traffic > >> > statistics, > >> > >> >> and > >> > >> >> >> user > >> > >> >> >> >>>>>> > behavior analysis. Meituan, Aurora, Shell Housing, > >> etc. > >> > use > >> > >> >> Kylin > >> > >> >> >> >>>>>> to build > >> > >> >> >> >>>>>> > their data service platforms, providing millions to > >> tens > >> > of > >> > >> >> >> >>>>>> millions of > >> > >> >> >> >>>>>> > queries per day, and most of the queries can be > >> completed > >> > >> >> within > >> > >> >> >> 2 > >> > >> >> >> >>>>>> - 3 > >> > >> >> >> >>>>>> > seconds. There is no better alternative for such a > >> high > >> > >> >> >> concurrency > >> > >> >> >> >>>>>> > scenario. > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > ClickHouse, because of its MPP architecture, has > high > >> > >> >> computing > >> > >> >> >> >>>>>> power and > >> > >> >> >> >>>>>> > is more suitable when the query request is more > >> flexible, > >> > >> or > >> > >> >> when > >> > >> >> >> >>>>>> there is > >> > >> >> >> >>>>>> > a need for detailed queries with low concurrency. > >> > Scenarios > >> > >> >> >> >>>>>> include: very > >> > >> >> >> >>>>>> > many columns and where conditions are arbitrarily > >> > combined > >> > >> >> with > >> > >> >> >> the > >> > >> >> >> >>>>>> user > >> > >> >> >> >>>>>> > label filtering, not a large amount of concurrency > of > >> > >> complex > >> > >> >> >> >>>>>> on-the-spot > >> > >> >> >> >>>>>> > query and so on. If the amount of data and access is > >> > large, > >> > >> >> you > >> > >> >> >> >>>>>> need to > >> > >> >> >> >>>>>> > deploy a distributed ClickHouse cluster, which is a > >> > higher > >> > >> >> >> >>>>>> challenge for > >> > >> >> >> >>>>>> > operation and maintenance. > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > If some queries are very flexible but infrequent, it > >> is > >> > >> more > >> > >> >> >> >>>>>> > resource-efficient to use now-computing. Since the > >> number > >> > >> of > >> > >> >> >> >>>>>> queries is > >> > >> >> >> >>>>>> > small, even if each query consumes a lot of > >> computational > >> > >> >> >> >>>>>> resources, it is > >> > >> >> >> >>>>>> > still cost-effective overall. If some queries have a > >> > fixed > >> > >> >> >> pattern > >> > >> >> >> >>>>>> and the > >> > >> >> >> >>>>>> > query volume is large, it is more suitable for > Kylin, > >> > >> because > >> > >> >> the > >> > >> >> >> >>>>>> query > >> > >> >> >> >>>>>> > volume is large, and by using large computational > >> > >> resources to > >> > >> >> >> save > >> > >> >> >> >>>>>> the > >> > >> >> >> >>>>>> > results, the upfront computational cost can be > >> amortized > >> > >> over > >> > >> >> >> each > >> > >> >> >> >>>>>> query, > >> > >> >> >> >>>>>> > so it is the most economical. > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > --- Translated with DeepL.com (free version) > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > ------------------------ > >> > >> >> >> >>>>>> > With warm regard > >> > >> >> >> >>>>>> > Xiaoxiang Yu > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > On Mon, Dec 4, 2023 at 3:16 PM Nam Đỗ Duy > >> > >> >> <na...@vnpay.vn.invalid > >> > >> >> >> > > >> > >> >> >> >>>>>> wrote: > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> >> Thank you Xiaoxiang for the near real time > streaming > >> > >> feature. > >> > >> >> >> >>>>>> That's > >> > >> >> >> >>>>>> >> great. > >> > >> >> >> >>>>>> >> > >> > >> >> >> >>>>>> >> This morning there has been a new challenge to my > >> team: > >> > >> >> >> clickhouse > >> > >> >> >> >>>>>> offered > >> > >> >> >> >>>>>> >> us the speed of calculating 8 billion rows in > >> > millisecond > >> > >> >> which > >> > >> >> >> is > >> > >> >> >> >>>>>> faster > >> > >> >> >> >>>>>> >> than my demonstration (I used Kylin to do > >> calculating 1 > >> > >> >> billion > >> > >> >> >> >>>>>> rows in > >> > >> >> >> >>>>>> >> 2.9 > >> > >> >> >> >>>>>> >> seconds) > >> > >> >> >> >>>>>> >> > >> > >> >> >> >>>>>> >> Can you briefly suggest the advantages of kylin > over > >> > >> >> clickhouse > >> > >> >> >> so > >> > >> >> >> >>>>>> that I > >> > >> >> >> >>>>>> >> can defend my demonstration. > >> > >> >> >> >>>>>> >> > >> > >> >> >> >>>>>> >> On Mon, Dec 4, 2023 at 1:55 PM Xiaoxiang Yu < > >> > >> x...@apache.org > >> > >> >> > > >> > >> >> >> >>>>>> wrote: > >> > >> >> >> >>>>>> >> > >> > >> >> >> >>>>>> >> > 1. "In this important scenario of realtime > >> analytics, > >> > >> the > >> > >> >> >> reason > >> > >> >> >> >>>>>> here is > >> > >> >> >> >>>>>> >> > that > >> > >> >> >> >>>>>> >> > kylin has lag time due to model update of new > >> segment > >> > >> >> build, > >> > >> >> >> is > >> > >> >> >> >>>>>> that > >> > >> >> >> >>>>>> >> > correct?" > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > You are correct. > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > 2. "If that is true, then can you suggest a > >> > work-around > >> > >> of > >> > >> >> >> >>>>>> combination > >> > >> >> >> >>>>>> >> of > >> > >> >> >> >>>>>> >> > ... " > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > Kylin is planning to introduce NRT > >> streaming(coding is > >> > >> >> >> completed > >> > >> >> >> >>>>>> but not > >> > >> >> >> >>>>>> >> > released), > >> > >> >> >> >>>>>> >> > which can make the time-lag to about 3 > >> minutes(that is > >> > >> my > >> > >> >> >> >>>>>> estimation > >> > >> >> >> >>>>>> >> but I > >> > >> >> >> >>>>>> >> > am > >> > >> >> >> >>>>>> >> > quite certain about it). > >> > >> >> >> >>>>>> >> > NRT stands for 'near real-time', it will run a > job > >> and > >> > >> do > >> > >> >> >> >>>>>> micro-batch > >> > >> >> >> >>>>>> >> > aggregation and persistence periodically. The > >> price is > >> > >> that > >> > >> >> >> you > >> > >> >> >> >>>>>> need to > >> > >> >> >> >>>>>> >> run > >> > >> >> >> >>>>>> >> > and monitor a long-running > >> > >> >> >> >>>>>> >> > job. This feature is based on Spark Streaming, > so > >> you > >> > >> need > >> > >> >> >> >>>>>> knowledge of > >> > >> >> >> >>>>>> >> > it. > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > I am curious about what is the maximum time-lag > >> your > >> > >> >> customers > >> > >> >> >> >>>>>> >> > can tolerate? > >> > >> >> >> >>>>>> >> > Personally, I guess minute level time-lag is ok > for > >> > most > >> > >> >> >> cases. > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > ------------------------ > >> > >> >> >> >>>>>> >> > With warm regard > >> > >> >> >> >>>>>> >> > Xiaoxiang Yu > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > On Mon, Dec 4, 2023 at 12:28 PM Nam Đỗ Duy > >> > >> >> >> >>>>>> <na...@vnpay.vn.invalid> > >> > >> >> >> >>>>>> >> wrote: > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > > Druid is better in > >> > >> >> >> >>>>>> >> > > - Have a real-time datasource like Kafka etc. > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > ========================== > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > Hi Xiaoxiang, thank you for your response. > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > In this important scenario of realtime > alalytics, > >> > the > >> > >> >> reason > >> > >> >> >> >>>>>> here is > >> > >> >> >> >>>>>> >> that > >> > >> >> >> >>>>>> >> > > kylin has lag time due to model update of new > >> > segment > >> > >> >> build, > >> > >> >> >> >>>>>> is that > >> > >> >> >> >>>>>> >> > > correct? > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > If that is true, then can you suggest a > >> work-around > >> > of > >> > >> >> >> >>>>>> combination of > >> > >> >> >> >>>>>> >> : > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > (time - lag kylin cube) + (realtime DB update) > to > >> > >> provide > >> > >> >> >> >>>>>> >> > > realtime capability ? > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > IMO, the point here is to find that (realtime > DB > >> > >> update) > >> > >> >> and > >> > >> >> >> >>>>>> >> integrate it > >> > >> >> >> >>>>>> >> > > with (time - lag kylin cube). > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > On Fri, Dec 1, 2023 at 1:53 PM Xiaoxiang Yu < > >> > >> >> >> x...@apache.org> > >> > >> >> >> >>>>>> wrote: > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > > I researched and tested Druid two years ago(I > >> > don't > >> > >> >> know > >> > >> >> >> too > >> > >> >> >> >>>>>> much > >> > >> >> >> >>>>>> >> about > >> > >> >> >> >>>>>> >> > > > the change of Druid in these two years. New > >> > >> features > >> > >> >> >> that I > >> > >> >> >> >>>>>> know > >> > >> >> >> >>>>>> >> are : > >> > >> >> >> >>>>>> >> > > > new UI, fully on K8s etc). > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > Here are some cases you should consider using > >> > Druid > >> > >> >> other > >> > >> >> >> >>>>>> than Kylin > >> > >> >> >> >>>>>> >> > > > at the moment (using Kylin 5.0-beta to > compare > >> the > >> > >> >> Druid > >> > >> >> >> >>>>>> which I > >> > >> >> >> >>>>>> >> used > >> > >> >> >> >>>>>> >> > two > >> > >> >> >> >>>>>> >> > > > years ago): > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > - Have a real-time datasource like Kafka etc. > >> > >> >> >> >>>>>> >> > > > - Most queries are small(Based on my test > >> result, > >> > I > >> > >> >> think > >> > >> >> >> >>>>>> Druid had > >> > >> >> >> >>>>>> >> > > better > >> > >> >> >> >>>>>> >> > > > response time for small queries two years > ago.) > >> > >> >> >> >>>>>> >> > > > - Don't know how to optimize Spark/Hadoop, > >> want to > >> > >> use > >> > >> >> the > >> > >> >> >> >>>>>> >> K8S/public > >> > >> >> >> >>>>>> >> > > > cloud platform as your deployment platform. > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > But I do think there are many scenarios in > >> which > >> > >> Kylin > >> > >> >> >> could > >> > >> >> >> >>>>>> be > >> > >> >> >> >>>>>> >> better, > >> > >> >> >> >>>>>> >> > > > like: > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > - Better performance for complex/big queries. > >> > Kylin > >> > >> can > >> > >> >> >> have > >> > >> >> >> >>>>>> a more > >> > >> >> >> >>>>>> >> > > > exact-match/fine-grained > >> > >> >> >> >>>>>> >> > > > Index for queries containing different > >> `Group By > >> > >> >> >> >>>>>> dimensions`. > >> > >> >> >> >>>>>> >> > > > - User-friendly UI for modeling. > >> > >> >> >> >>>>>> >> > > > - Support 'Join' better? (Not sure at the > >> moment) > >> > >> >> >> >>>>>> >> > > > - ODBC driver for different BI.(its website > did > >> > not > >> > >> >> show > >> > >> >> >> it > >> > >> >> >> >>>>>> supports > >> > >> >> >> >>>>>> >> > ODBC > >> > >> >> >> >>>>>> >> > > > well) > >> > >> >> >> >>>>>> >> > > > - Looks like Kylin supports ANSI SQL better > >> than > >> > >> Druid. > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > I don't know Pinot, so I have nothing to say > >> about > >> > >> it. > >> > >> >> >> >>>>>> >> > > > Hope to help you, or you are free to share > your > >> > >> >> opinion. > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > ------------------------ > >> > >> >> >> >>>>>> >> > > > With warm regard > >> > >> >> >> >>>>>> >> > > > Xiaoxiang Yu > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > On Fri, Dec 1, 2023 at 11:11 AM Nam Đỗ Duy > >> > >> >> >> >>>>>> <na...@vnpay.vn.invalid> > >> > >> >> >> >>>>>> >> > > wrote: > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > >> Dear Xiaoxiang, > >> > >> >> >> >>>>>> >> > > >> Sirs/Madams, > >> > >> >> >> >>>>>> >> > > >> > >> > >> >> >> >>>>>> >> > > >> May I post my boss's question: > >> > >> >> >> >>>>>> >> > > >> > >> > >> >> >> >>>>>> >> > > >> What are the pros and cons of the OLAP > >> platform > >> > >> Kylin > >> > >> >> >> >>>>>> compared to > >> > >> >> >> >>>>>> >> > Pinot > >> > >> >> >> >>>>>> >> > > >> and > >> > >> >> >> >>>>>> >> > > >> Druid? > >> > >> >> >> >>>>>> >> > > >> > >> > >> >> >> >>>>>> >> > > >> Please kindly let me know > >> > >> >> >> >>>>>> >> > > >> > >> > >> >> >> >>>>>> >> > > >> Thank you very much and best regards > >> > >> >> >> >>>>>> >> > > >> > >> > >> >> >> >>>>>> >> > > > > >> > >> >> >> >>>>>> >> > > > >> > >> >> >> >>>>>> >> > > >> > >> >> >> >>>>>> >> > >> > >> >> >> >>>>>> > > >> > >> >> >> >>>>>> > >> > >> >> >> >>>>> > >> > >> >> >> > >> > >> >> > > >> > >> >> > >> > >> > > >> > >> > >> > > > >> > > >> > > >
