Please forgive me for going in tangent Well there may be many SQL engines but only 5-6 are in the league. Oracle has Oracle and MySQL plus TimesTen from various acquisitions. SAP has Hana, SAP ASE, SAP IQ and few others again from acquiring Sybase . So very few big players.
Cars, Fiat owns many groups including Ferrari and Maserati. The beloved Jaguar belongs to Tata Motors and Rolls Royce belongs to BMW and actually uses BMW engines. VW has many companies from Seat to Skoda etc. However, that is the results of Markets getting too fragmented when consolidation happens. Big data world is quite young but I gather it will go the same way as most go, consolidation. Anyway my original point was finding a tool that allows me to do CEP on Algo trading using Kafka + another. As of now there is really none. I am still exploring if Flink can do the job. HTH Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com On 18 April 2016 at 07:46, Sean Owen <so...@cloudera.com> wrote: > Interesting tangent. I think there will never be a time when an > interesting area is covered only by one project, or product. Why are > there 30 SQL engines? or 50 car companies? it's a feature not a bug. > To the extent they provide different tradeoffs or functionality, > they're not entirely duplicative; to the extent they compete directly, > it's a win for the user. > > As others have said, Flink (née Stratosphere) started quite a while > ago. But you can draw lines of influence back earlier than Spark. I > presume MS Dryad is the forerunner of all these. > > And in case you wanted a third option, Google's DataFlow (now Apache > Beam) is really a reinvention of FlumeJava (nothing to do with Apache > Flume) from Google, in a way that Crunch was a port and minor update > of FlumeJava earlier. And it claims to run on Flink/Spark if you want. > > https://cloud.google.com/dataflow/blog/dataflow-beam-and-spark-comparison > > > On Sun, Apr 17, 2016 at 10:25 PM, Mich Talebzadeh > <mich.talebza...@gmail.com> wrote: > > Also it always amazes me why they are so many tangential projects in Big > > Data space? Would not it be easier if efforts were spent on adding to > Spark > > functionality rather than creating a new product like Flink? >
