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).

With their real-time access, scalability and flexible data model that accommodates a wide variety of data types, NoSQL document databases can be a great fit to build such platforms. 9 E-Commerce ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

An example of a popular graph database system is Neo4j. Another Choice: The Multi-Model DBMS. Yet another choice in the NoSQL market is the multi-model DBMS. A growing number of vendors have delivered ...

The type of NoSQL database you choose should be based on the type of data you need to store, its size and complexity. Key-Value Stores are the Simplest of NOSQL Databases; A Key Value data model is ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases.Often, NoSQL databases boast better design flexibility ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

HBase and Cassandra are also useful in such a scenario, but excel at throughput-optimized Big Data analytics, when combined with Hadoop." "In summary," Gessert concluded, "we are convinced that the ...

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.