In Hadoop Land, we’re still in the transition from zero per cent adoption to one per cent adoption.
Part of the reason is Hadoop’s own shortcomings. Despite being a big proponent of Hadoop, IBM points to a few specific deficiencies in Hadoop that hold it back, including a lack of performance and scalability, inflexible resource management, and a limitation to a single distributed file system instead of multiple data source support.