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

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.

Polymorphism One of the great features of JSON, also applicable to NoSQL and Big Data, is the ability to deal with evolving and flexible schemas, both at the level of the general document structure, ...

Learn about the advantages and disadvantages of using JSON vs XML for data processing, and how to choose the best format for your needs.

One of the most interesting trends in the computer world during the past few years has been the rapid growth of NoSQL databases. The term may be accurate, in that NoSQL databases don't use SQL in ...

An open source, in-memory and NoSQL database known for its speed and performance, Redis has become popular with developers and has a growing and vibrant community. It features several data types that ...

Today, JSON is the universal standard of data exchange. It is found in every area of programming, including front-end and server-side development, systems, middleware, and databases.

It features JSON storage -- XML and other data types are also possible. JSON can make every document (the NoSQL term for equivalent relational record) unique and fixes the sparse data problem common ...

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...

Looking to extend the scope of its high-performance Hadoop distribution, MapR Technologies Inc. today is announcing the addition of native JSON support to its NoSQL database.