RDBMS systems traditionally support ACID transactions at the database level, which results in easier application DEVELOPMENT. On the other side, in a NoSQL system, most of the transactions are being handled at the application level. The application developer can easily abuse the implementation by making WRONG choices. Fundamentally, it REQUIRES more stringent processes to create NoSQL application.

On the contrary side, NoSQL system scale well in high load environments. You can apply automatic sharding to minimize down time and the nodes can be prepared in REAL time, which results in lower operational costs. With RDBMS system, it requires a lot of proactive strategy to maintain and meet the scalability demands. At times, it BECOMES operationally inefficient to meet the sudden high demands.

RDBMS systems traditionally support ACID transactions at the database level, which results in easier application development. On the other side, in a NoSQL system, most of the transactions are being handled at the application level. The application developer can easily abuse the implementation by making wrong choices. Fundamentally, it requires more stringent processes to create NoSQL application.

On the contrary side, NoSQL system scale well in high load environments. You can apply automatic sharding to minimize down time and the nodes can be prepared in real time, which results in lower operational costs. With RDBMS system, it requires a lot of proactive strategy to maintain and meet the scalability demands. At times, it becomes operationally inefficient to meet the sudden high demands.