When it comes to choosing a database the biggest decisions is picking a relational (SQL) or non-relational (NoSQL) data structure. While both the databases are viable options still there are certain key differences between the two that users must keep in mind when making a decision.
- RDBMS is completely structured way of storing data. While the NoSQL is unstructured way of storing the data.
- Another main difference is that the amount of data stored mainly depends on the Physical memory of the system. While in the NoSQL you don’t have any such limits as you can scale the system horizontally.
Extremely large datasets are often event based transactions that occur in chronological order. Examples are weblogs, shopping transactions, manufacturing data from assembly line devices, scientific data collections, etc. These types of data accumulate in large numbers every second and can take a RDBMS with all of its overhead to its knees. But for OLTP processing, nothing beats the combination of data quality and performance of a well designed RDBMS.
You can read below post Big data and NoSQL database for more detail into understanding NoSQL databases.
Read to know the future of rdbms to have a better understanding of RDBMS limitations with current trend of IT growth.
You can get more information in below post.
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