Internally, DDF uses Flink Table APIs to process the SQL queries. I would say that DDF would be very useful to provide good virtualization when building application platform.
- Henry On Thu, Dec 3, 2015 at 8:48 AM, Kostas Tzoumas <ktzou...@apache.org> wrote: > Hi Nam-Luc, > > I cc Rohit who implemented the DDF framework. > > I would say that the main difference with the Table API is that DDF aims at > portability (running the same code using Flink, Spark, or a database), > whereas the Table API is meant to be part of Flink itself. > > Best, > Kostas > > > On Thu, Dec 3, 2015 at 11:23 AM, Nam-Luc Tran <namluc.t...@euranova.eu> > wrote: > >> Hello Everyone, >> >> We came across the Distributed DataFrame project (http://ddf.io) that aims >> at implementing a dataframe representation targeting Spark and Flink. >> >> Has anybody already heard or played with this project? How would you >> position that with regards to Flink's Tables? >> >> Cheers, >> >> -- >> >> *Nam-Luc TRAN* >> >> R&D Manager >> >> EURA NOVA >> >> (M) +32 498 37 36 23 >> >> *euranova.eu <http://euranova.eu>* >>
