The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

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 ...

Mention the word "database," and most people think of the venerable RDBMS that has dominated the landscape for more than 30 years. That, however, may soon change.

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.

The relational database remains the best model for the widest variety of workloads and I expect it to remain dominant for CRM, ERP, and data warehousing applications.

The three leaders of the relational database market are responding to the sudden mania for the data processing technology Hadoop in three very different ways. While startups and established data ...

Limited scale and ability to analyze unstructured data are among the reasons that relational databases may not be best for big data.

Big Data vs. Small Data Key Points Big data are massive data sets used to gather real-time information. Small data are ...

Part 2 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data database system space.

It’s a new data world, in other words, and traditional relational database management systems weren’t really designed for it.