spark streaming is a mini job, which can update every 150ms, but storm is long live process. On 2013-12-07 9:12 AM, "Jay Vyas" <jayunit...@gmail.com> wrote:
> Spark increases performance by using distributed shared memory. > > Storm on the other hand gives you realtime performance by processing data > sets in small batches. > > The case for Spark is when you want a more sophisticated data processing. > > The case for Storm is when you have large volumes of incoming data and you > want to run a process every 1000 records. > > If you want a better comparison, try comparing spark-streaming with storm. > > > > > > > > > On Fri, Dec 6, 2013 at 7:04 PM, Smarty Juice <smarty.ju...@gmail.com>wrote: > >> can anyone explain what is the clear difference between spark and storm >> >> what are the use case of storm and spark? >> >> can it be used without haddop? >> >> what are the pros and cons of running with or without hadoop? >> >> thanks >> >> > > > -- > Jay Vyas > http://jayunit100.blogspot.com >
