NoSQL databases store and manage data in ways that enable high operational speed and a level of flexibility not found in traditional relational database management systems (RDBMSs). A recent ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a content store database? Content stores are databases designed to ...

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB, for example, uses a document model, which can be thought of as a row in a RDBMS. Documents ...

In those cases, a global session store—i.e., one that manages session information for each user who visits the Website—is the right approach, and NoSQL has emerged as one of the best options ...

Match technology to need: As different NoSQL databases — like document stores, key-value stores and column stores — have different strengths, be sure to choose one that aligns with your ...

But the U.S. intelligence agency needed some security of its own, so it developed a NoSQL data store called Accumulo, with built-in policy enforcement mechanisms that strictly limit who can see ...

The 51-year-old database sports features of NoSQL databases, as well as features of relational databases, namely ACID (Atomicity, Consistency, Isolation, Durability) compliance. At its core, MUMPS is ...

Within the NoSQL zoo, there are several distinct family trees. Some NoSQL databases are pure key-stores without an explicit data model, with many based on Amazon's Dynamo key-value store. Others are ...