Big Data, that is data which pushes the limits of conventional data management technology, is difficult or impossible to manage with relational databases. In fact, that’s pretty much the ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. ... In 2010, the talk about a "big data" trend has reached a fever pitch.

As for new types of data, relational database products evolved to support unstructured data back in the 1990s, he said. In 2013, Oracle’s namesake database added support for JSON (JavaScript ...

Quite a good idea for big data. In relational databases you define your schema BEFORE you add your data. So a database with name, address, phone number etc. has those core defined schemas shapes.

NoSQL database technologies (key/value, wide column, document store, and graph) are currently very common in big data and analytics projects. But these products are not designed to be wholesale ...

On current trends, then, we can expect NoSQL and relational databases to share the big data winner’s podium for many years to come. NoSQL rising.

The PR rep said, “The heyday of the 30-year-old relational database is over, and Oracle has missed the shift to next-generational database technology needed to meet today’s big data challenges ...

Microsoft, IBM, Oracle: Three vendors, three different paths on dealing with the Hadoop open-source data processing technology Topics Spotlight: Prioritizing your AI investments ...

As for new types of data, relational database products evolved to support unstructured data back in the 1990s, he said. In 2013, Oracle’s namesake database added support for JSON (JavaScript ...