Hi, I wanted to know that in use case where we need in-memory big data for on-the-fly computation, does Ignite gives better performance as compared to kdb (which is also an in-memory database)?
As far as I understand, Ignite is used for caching database that store data on disk or to improve performance of systems that already use spark/hadoop. It would be very informative if someone could share comparison of Ignite Vs. KDb keeping the above use case in mind. Thanks -- View this message in context: http://apache-ignite-developers.2346864.n4.nabble.com/Use-cases-for-Ignite-tp2132p10290.html Sent from the Apache Ignite Developers mailing list archive at Nabble.com.
