When dealing with large volumes of data that don't fit neatly into tables, a non-relational database might be your best bet. These databases are designed to handle unstructured data such as social ...

Non-relational databases can significantly improve data management, depending on the type and the goal of the data. For instance, if you have a large amount of unstructured data that does not fit ...

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

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.

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.

Relational databases are built on a model that uses a structure of tables linked by defined relationships expressing dependencies between the data. Primarily, relational databases are used for ...

Using a Relational Model, you can view how data is stored within a Relational Database. Tables (relations) are the building blocks of a relational database. As shown in Table 1, there is a ...

Non-relational database computing in Clouds is a new model for upcoming generation analytics development, enabling unstructured data organization, sharing, and exploration of large volumes rapidly ...