The State of Hadoop 2014: Who’s using it and why? By Mike Wheatley

Hadoop is crouched in the attack position; ready to take over the world of big data. Despite being over eight years old now; Hadoop has yet to meet its full potential. Despite the tremendous upside (due to its versatility), Hadoop really hasn’t yet exploded onto the scene of big data, as some expected. There are some conflicting reports of just how widely used it is today but, everyone seems to be in agreement that it is the platform to launch the future of data.
Perhaps, the reason why Hadoop has yet to surpass the likes of Microsoft SQL Server or Oracle has to do with a fear of change from the user base. But, this fear to destine to give way to the versatility of Hadoop. The majority of the early adopters of Hadoop have come from the analytics, advertising and security sectors. The forecasts trend to Hadoop being a major player in all fields that deal with data by 2020. As, the projections have them going from a value of 2 billion to 50.2 billion by then.

Facebook trapped in MySQL ‘fate worse than death’ by Derrick Harris

As a result of the rapid growth of Facebook (along with several of web based companies), a problem has arisen. The problem is that a company that was built on the technology of the day, most likely will be tied to that technology (to some degree) without a major overhaul. Major overhauls are typically not possible to a company whose product is web based and moves in real time. Despite many patch type solutions; when your core program is outdated, problems are inevitable.
Though Facebook use of MySQL will eventually have to the way of the Dodo bird; there are possible solutions out there. One of those solutions is a platform known as NewSQL. NewSQL is a platform designed for the next generation Web 3.0 application.
Of Couse the same problem will occur in a potentially perpetual cycle. And this is what makes the big data game so exciting. There is no end; now throwing your hands up in victory and saying: we’ve won. As technology increases, so will our need to accommodate the data that it procuces.