Flavio, the two are best at two orthogonal use cases, HBase on the transactional side, and Spark on the analytic side. Spark is not intended for row-based random-access updates, while far more flexible and efficient in dataset-scale aggregations and general computations.
So yes, you can easily see them deployed side-by-side in a given enterprise. Sent while mobile. Pls excuse typos etc. On Apr 8, 2014 5:58 AM, "Flavio Pompermaier" <pomperma...@okkam.it> wrote: > Hi to everybody, > > in these days I looked a bit at the recent evolution of the big data > stacks and it seems that HBase is somehow fading away in favour of > Spark+HDFS. Am I correct? > Do you think that Spark and HBase should work together or not? > > Best regards, > Flavio >
