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.

Unstructured data can be machine-generated as well, with examples including: IoT data: As the number of smart, internet-connected devices grows, so does the amount of data they create and collect.

NoSQL solutions emerged as a reaction to frustration with the cost and inflexibility of legacy RDBMS products like Oracle and IBM DB2, which use SQL as a query language. The original NoSQL systems ...

But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors, and other sources, NoSQL is simply better.

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...

The benefits of NoSQL databases are clear, whether that’s the ability to handle large volumes of structured or unstructured data, perform Agile sprints or its flexibility and scalability. And ...

But you can still have some pretty private things floating around in unstructured data sets. For example, a letter relevant to somebody’s HIPAA information might look like it doesn’t have any ...

Progress Software Inc. today announced a deal to acquire MarkLogic Inc., the maker of a NoSQL database management system that’s primarily used for enterprise data integration.