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 ...

Learn some best practices and tips for protecting your data from unauthorized access, modification, or loss in NoSQL databases for big data.

NoSQL databases are a popular alternative to traditional relational databases, especially for handling large volumes of unstructured or semi-structured data. But how do you know when to use them ...

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.

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 ...

XML databases can handle data of just about any size or format. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

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.