Hadoop fails to live up to the promise and the hype
Hadoop, the open source big data framework first developed at Yahoo for analyzing large data sets, is a total failure that costs too much and is too much of a headache to implement, say people in the field. In a lengthy and in-depth piece on Datanami, big data experts describe Hadoop as too primitive for any kind of complex processing work or interactive, user-facing applications. At best, it's a batch process job, which is how Hadoop started out. It doesn't seem to have grown beyond it. “I can’t find a happy Hadoop customer. It’s sort of as simple as that,” Bob Muglia, CEO of Snowflake Computing, told Datanami. Snowflake develops and runs a cloud-based relational data warehouse product. “It’s very clear to me, technologically, that it’s not the technology base the world will be built on going forward.” To read this article in full or to leave a comment, please click here