When Hadoop and NoSQL technologies were first becoming popular, some of their early supporters talked them up as replacements for the relational database. More recently, though, it’s become clear that they are complementary.
So maximizing value from big data requires that you have Hadoop, NoSQL and relational database systems all nicely integrated together. And everybody from pioneers of Hadoop to large enterprises, from analyst firms to vendors, are saying pretty much the same thing: you need all these things working together. So when you have all these things working together, what do you have?
We think there’s a simple answer. You’ve gone from managing data to managing big data, from a relational database management system to a big data management system that seamlessly incorporates Hadoop, NoSQL and your relational data warehouse (possibly other sources as well).
“Big Data Management System” is a totally generic term: it’s what many organizations need to run their business in this new era of big data; and it’s what vendors need to deliver or help their customers to acquire and build.
Putting a label on this thing, then, is not hard. What is harder, of course, is building one.