Yes this storage layer is something I have been investigating in my own lab for mixed load such as Lambda Architecture.
It offers the convenience of columnar RDBMS (much like Sybase IQ). Kudu tables look like those in SQL relational databases, each with a primary key made up of one or more columns that enforce uniqueness and acts as an index for efficient updates and deletes. Data is partitioned using what is known as tablets that make up tables. Kudu replicates these tablets to other nodes for redundancy. As you said there are a number of options. Kudu also claims in-place updates that needs to be tried for its consistency. Cheers Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 24 July 2017 at 08:30, Jörn Franke <jornfra...@gmail.com> wrote: > I guess you have to find out yourself with experiments. Cloudera has some > benchmarks, but it always depends what you test, your data volume and what > is meant by "fast". It is also more than a file format with servers that > communicate with each other etc. - more complexity. > Of course there are alternatives that you could benchmark again, such as > Apache HAWQ (which is basically postgres on Hadoop), Apache ignite or > depending on your analysis even Flink or Spark Streaming. > > On 24. Jul 2017, at 09:25, Mich Talebzadeh <mich.talebza...@gmail.com> > wrote: > > hi, > > Has anyone had experience of using Kudu for faster analytics with Spark? > > How efficient is it compared to usinh HBase and other traditional storage > for fast changing data please? > > Any insight will be appreciated. > > Thanks > > Dr Mich Talebzadeh > > > > LinkedIn * > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* > > > > http://talebzadehmich.wordpress.com > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for any > loss, damage or destruction of data or any other property which may arise > from relying on this email's technical content is explicitly disclaimed. > The author will in no case be liable for any monetary damages arising from > such loss, damage or destruction. > > > >
