NoSQL pros:

• Loading test data can be done with drag-and-drop tools before ER modeling is complete.

• Modular architecture allows components to be exchanged.

• Linear scaling takes place as new processing nodes are added to the cluster.

• Lower operational costs are obtained by autosharding.

• Integrated search functions provide high-quality ranked search results

• There’s no need for an object-relational mapping layer.

• It’s easy to store high-variability data

NoSQL cons:

• ACID transactions can be done only within a document at the database level. Other transactions must be done at the application level.

• Document stores don’t provide fine-grained security at the element level.

• NoSQL systems are new to many staff members and additional training may be required.

• The document store has its own proprietary nonstandard query language, which prohibits portability.

• The document store won’t work with existing reporting and OLAP tools.