Chances are your relationship with Hadoop – the open-source software that provides a framework for distributed storage and processing of “big data” – began with great expectations. Perhaps there were even goosebumps thinking about moving all your disparate data to one giant data lake, there for the asking.
But has Hadoop lived up to its promise of a better data experience? We are seeing that for too many Hadoop users, the day-in, day-out working reality hasn’t lived up to the courting stage. Their data lake is bogged down with unnecessary and redundant data, creating processing inefficiencies. Hadoop is slow and clunky at some of the more important business use cases – such as real-time analytics. Its structure tying data storage to compute function drives up costs.
It’s time to break up with Hadoop and move onto a relationship that fulfills its promises. Here are three reasons why now is the time to shed Hadoop and make the move to the cloud: