Big data applications are generally looked from 4 perspectives: VOLUME, Velocity, Variety and Veracity. Whereas, NoSQL applications are driven by the inability of a current application to efficiently scale. Though volume and velocity are IMPORTANT, NoSQL also focuses on VARIABILITY and agility.

NoSQL is often used to store big data. NoSQL stores provide simpler scalability and improved performance relative to traditional RDMS. They help big data moment in a big way by storing unstructured data and providing a means to query them as per requirements. There are different KINDS of NoSQL data stores, which are USEFUL for different kind of applications. While evaluating a particular NoSQL solution, one should looks for their requirements in terms of automatic scalability, data loss, payment model etc.

Big data applications are generally looked from 4 perspectives: Volume, Velocity, Variety and Veracity. Whereas, NoSQL applications are driven by the inability of a current application to efficiently scale. Though volume and velocity are important, NoSQL also focuses on variability and agility.

NoSQL is often used to store big data. NoSQL stores provide simpler scalability and improved performance relative to traditional RDMS. They help big data moment in a big way by storing unstructured data and providing a means to query them as per requirements. There are different kinds of NoSQL data stores, which are useful for different kind of applications. While evaluating a particular NoSQL solution, one should looks for their requirements in terms of automatic scalability, data loss, payment model etc.