Hadoop, once hailed as a revolutionary big data platform, is facing significant challenges with an estimated failure rate of 85% for customer projects and vendors like MapR on the verge of shutdown. However, experts believe that Hadoop will continue to play a key role in enterprise data architectures, albeit with a focus shifting from "big data" to "connected data", where relationships and context are more valuable than sheer volume. As graph technology emerges as a way to connect and contextualize data, buyers will increasingly look for solutions that combine Hadoop or other technologies with graph capabilities to achieve success and value in their data projects.