The document database is one of the fastest growing types of NoSQL databases today. It’s a derivation of the key-value store. But instead of storing data in rows and columns, the key value pairs are ...

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

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.

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.

Key-value NoSQL database features compared. Five widely used products (including one cloud service) are worth your consideration; they are explicitly billed as key-value databases or offer key ...

In a relational database, users access data by stating what they want, but in a navigational database, data is accessed by defining the path to find the desired data. Here’s an example.

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

There are several different types of non-relational databases that fall under the NoSQL umbrella, including key-value stores, document-oriented databases, columnar databases and graph databases ...

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

NoSQL databases did scale much, much better than Oracle Database, DB2, or SQL Server, which are all based on a 40-year-old design. However, each type of NoSQL database had new restrictions: ...