Hadoop Pioneer MapR Faces An Uncertain Future

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It is no secret that the big three commercial Hadoop distributors have been running into headwinds in recent years as more workloads and data have made their way into the public cloud and that these Hadoop platform providers have spent a lot of money and time to expand their stacks beyond the basic open source Hadoop.

Hadoop was a very good way of enabling enterprises to store and analyze lots of unstructured data from multiple sources, and evolved it add more structured data format and even SQL query functions across those formats, all of which is clever and useful. However, Hadoop has been under pressure as cloud service providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform have offered similar capabilities in the cloud without the hassle and cost of managing the software and infrastructure to do all that on-premises – sometimes based on Hadoop, sometimes not.

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