The Hadoop dream of unifying data and compute in a distributed manner has all but failed in a smoking heap of cost and complexity, according to technology experts and executives who spoke to Datanami.
"I can't find a happy Hadoop customer. It's sort of as simple as that," says Bob Muglia, CEO of Snowflake Computing, which develops and runs a cloud-based relational data warehouse offering. "It's very clear to me, technologically, that it's not the technology base the world will be built on going forward."
Thousands of organizations store huge amounts of data in Hadoop, and so Hadoop won't disappear overnight. After all, many companies still run mainframe applications that were originally developed half a century ago. But thanks to better mousetraps like S3 (for storage) and Spark (for processing), Hadoop will be relegated to niche and legacy statuses going forward, Muglia says.
"The number of customers who have actually successfully tamed Hadoop is probably less than 20 and it might be less than 10," Muglia says. "That's just nuts given how long that product, that technology has been in the market and how much general industry energy has gone into it."
Are any Soylentils using Hadoop, or deliberately using alternatives, for their Big Data needs?
(Score: 2) by hendrikboom on Tuesday March 28 2017, @02:24PM (1 child)
If you are serious about building a completely distributed system, try building it on Inferno [wikipedia.org]
(Score: 0) by Anonymous Coward on Wednesday March 29 2017, @06:51AM