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 ...

Multivalue (NF2, non-first normal form systems): complex data structures with schemas similar to relational database model [Here’s more information about Multivalue databases .] ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run ...

“All the RDBMS players already extend themselves beyond traditional relational-model databases to support different unstructured data and columnar formats,” said Soumendra Mohanty, executive VP and ...

What remains to be seen is the level of data that gets pumped into Amazon's RDS. Selipsky said the service is "suited for anything you'd put into a MySQL database" and that Amazon has "taken great ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

Relational Databases. Relational databases became the database of choice across business and industry in the 1980s. This database approach is based on work done by Dr. E. F. Codd at IBM in the late ...

Oh, sure, NoSQL is having an impact on the $46 billion database market–still just 3% of the market, but growing at a rapid pace even as more traditional relational databases inch up by 5.4% ...

However, using databases designed for OLTP can result in reliability issues, and the ever-growing data needs make it challenging to manage and meet the real-time transactions requirements.

Manage data consistency: Understand how the consistency model of your chosen NoSQL database affects your application, especially if you are transitioning from an ACID-compliant RDBMS. Choose the ...