MongoDB has also announced new products and capabilities that enable development teams to better analyze, transform and move their data in Atlas while reducing reliance on batch processes and ETL ...

NoSQL might well be called "the little database engine that could." It is quietly proving it is on track as Big Data transitions to cloud-based data storage and management. NoSQL is increasingly ...

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.

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases.

MongoDB's field-level encryption (FLE) offers the ability to store certain parts of the data in its document store encrypted. The community (free) version of MongoDB allows for explicit encryption ...

It shouldn’t come as a surprise that the NoSQL market is projected to be worth $4.2 billion by 2020. Generally, NoSQL databases are better equipped to deal with other non-relational data too.

Examples in this article are based on Spring Data Redis, which I’ve used as a higher level wrapper API. Spring Data Redis offers easy configuration, friendly APIs, and useful add-ons.

A NoSQL database that perfectly suits a real-time app may not even function for traditional statistics. So both relational and NoSQL databases have valuable roles in data analytics.

Starting with a small project is fine, McCreary says, but “the tragic thing is that often they don’t even know what NoSQL is good at.” Colleges can harvest and store web and social network data in low ...

You can tell Oracle NoSQL to sign off on the write after one, all, or a simple majority of the nodes are finished sending the data to disk. The documentation calls this feature a durability policy.