Btw if you are looking for a different comparison point there are other frameworks such as akka (http://akka.io), apache spark ( https://spark.apache.org), or ibm streams that might be more interesting. On Nov 17, 2014 2:19 AM, "Patrick Wiener" <[email protected]> wrote:
> @Nathan: :) thanks for the quality comparison. Nice bottom line for a > presentaton/conclusion. > > @all: thank you for your help. Awesome support in this community. > > > > Am 17.11.2014 um 07:58 schrieb Vladi Feigin <[email protected]>: > > Nathan, > > Liked ! <<It's like comparing a bicycle to an airplane.>> > > > On Sun, Nov 16, 2014 at 9:06 PM, Nathan Leung <[email protected]> wrote: > >> Also it supports cycles in the graph. It's like comparing a bicycle to an >> airplane. >> On Nov 16, 2014 2:03 PM, "Vladi Feigin" <[email protected]> wrote: >> >>> Storm is much more sophisticated then just filter-pipe pattern. >>> It provides >>> 1. Reliability: guarantees that every spout tuple will be fully >>> processed. Actually it provides : at-most-once delivery(no ackers) , >>> at-least-once >>> delivery(ackers) and exactly-once (Trident) semantic for the message >>> delivering/processing >>> 2. Various types of tuples grouping >>> 3. Scaling-out distributed system >>> Vladi >>> >>> >>> On Sun, Nov 16, 2014 at 8:29 PM, Patrick Wiener <[email protected]> >>> wrote: >>> >>>> So basically Storm’s core concept can be compared to >>>> pipes-and-filters-pattern BUT provides a more „user-friendly“ framework >>>> than e.g. a unix based pipes-and-filters processing. >>>> >>>> btw: I haven’t come across with TRIDENT yet. Just starting to dive >>>> deeper into Storm as a potential technology for a real-time analytics >>>> architecture (e.g. KAFKA+STORM+NODE+D3). >>>> >>>> Am 16.11.2014 um 17:06 schrieb Nathan Leung <[email protected]>: >>>> >>>> Storm supports fan outs, joins, various data groupings, and easier >>>> scalability than the canonical Unix based pipes and filters processing. >>>> On Nov 16, 2014 10:53 AM, "Andres Gomez Ferrer" <[email protected]> >>>> wrote: >>>> >>>>> Firstly your thoughts are correct :), but do you know Trindet’s api? >>>>> >>>>> Trindet provides functions and filters equivalent to bolts >>>>> >>>>> ____________________________________________________________ >>>>> Andrés Gómez >>>>> *Developer* >>>>> redborder.net / [email protected] >>>>> mobile: +34 606224922 >>>>> http://lnkd.in/sHnbJe >>>>> >>>>> <LogoEneo1-300x119.png> <LogoRedBorder.png> >>>>> ____________________________________________________________ >>>>> >>>>> >>>>> En 16 de noviembre de 2014 en 15:25:10, Patrick Wiener ( >>>>> [email protected]) escrito: >>>>> >>>>> >>>>> Hey everybody, >>>>> >>>>> I am working on a universities project towards a comparison towards >>>>> pipes-and-filters-pattern and Storm. >>>>> Since I am new to Storm and its topology and operating mode I hope you >>>>> can help me evaluating my train of thoughts. >>>>> >>>>> *Bolts* can be considered as Filters, whereas the *Spout* equals >>>>> the „Data Source“ (internal view) *pushing* tuples (data) to the >>>>> downstream bolt. >>>>> Finally the last bolt within the topology pushes tuples into a Data >>>>> Sink, e.g. Redis. >>>>> For the external view the Spout is also *pulling* (not shown in >>>>> picture) from external sources such as Kafka. >>>>> >>>>> Overall, Spouts implement pull and push mechanism and Bolts only push >>>>> mechanism >>>>> >>>>> I know this might seem trivial to you guys but i really hope for some >>>>> constructive help. >>>>> >>>>> >>>>> <34AC046A-F649-4A4E-9DA6-5FB7FE16868F> >>>>> >>>>> >>>> >>> >
