NoSQL databases have surged in popularity as organizations struggle to serve highly distributed Web applications, but navigating the various types of NoSQL databases and the vendors providing them has ...

The move creates the first vendor-neutral open source alternative to MongoDB that has the potential to save enterprises money ...

NoSQL for the Enterprise NoSQL has emerged to manage new data types, huge volumes of data and the relationships between complex and connected today inherent in modern applications. The type of NOSQL ...

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

Relational databases (SQL) have been used for decades by nearly every type of business around the world. The technology is reliable, based on stable standards, and has been mature for more than 20 ...

NoSQL database systems are becoming popular for big data implementations and for the types of applications mentioned in the paragraphs above (for each specific type of NoSQL offering). The other term ...

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.

Relational databases require you to structure a database into tables and then each table into columns according to data types.

Today's abundance of NoSQL databases gives firms choice with one hand but doles out management complexity with the other, according to Basho CTO Dave McCrory.

Extending the success of NoSQL databases and big data solutions, architects are now realizing that a new type of approach to working with data, be it a graph database or a graphing engine, can help ...