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 > > 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. >
