Some NoSQL solutions, therefore, focus on consistency models, i.e. availability: the database is always available to accept new data and can always provide an answer when queried, even if that data is ...

But, by that same measure, as well as the updated DB-Engines database popularity rankings, relational databases still dominate big data.

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.

Using big data to extract value from your data is one thing. However, using NoSQL can increase your technical debt and put your enterprise at risk of data integrity and the lack of resilience.

Oracle's take on the distributed key-value data store is enterprise ready and practically ACID. Could this be the NoSQL data store for the buttoned-down business crowd? [Originally published on ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale.

This article on SQL and NoSQL comparison will throw light on the debate on the advantages and limitations of each. Ever since the buzz of NoSQL database evolved in storing data in the NoSQL ...

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

For example, customer data could go into a relational database, linked to a non-relational database for unstructured data such as product reviews and recommendations. It's all about flexibility.

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.