Hadoop, the foundation for big data analytics, was created in 2006 by engineers at Yahoo. Their aim: an open-source system to store and process large amounts of unstructured web data – something other systems weren’t reliably or efficiently able to do. Their work was a genuine success; businesses have relied on Hadoop for several years when constructing their analytic infrastructures.

But the landscape of big data processing has changed, and new cloud-based solutions, being more scalable, more performant, and easier to manage, have become more popular for data storage. Additionally, many Hadoop distributions are now near the end-of-life: support and security updates are limited, and it is difficult to hire for the specialized skills required to manage Hadoop. Enterprises have either migrated Hadoop, are in the midst of a migration, or working on a migration project.

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