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When should we not use NoSQL?
NoSQL also lacks in the ability to perform dynamic operations. It can’t guarantee ACID properties. In such cases like financial transactions, etc., you may go with SQL databases. You should also avoid NoSQL if your application needs run-time flexibility.
Why NoSQL database are not always a good choice?
Not Quite The Right Choice NoSQL does not always promise the ACID properties, which is Atomicity, Consistency, Isolation, Durability, of the transactions. They also lack in providing a perfect data security, which is a major concern for modern IT enterprises, and is always a problem with NoSQL databases.
What are the advantages of a NoSQL database?
The structure of many different forms of data is more easily handled and evolved with a NoSQL database. NoSQL databases are often better suited to storing and modeling structured, semi-structured, and unstructured data in one database.
Do you prefer RDBMS or NoSQL?
NoSQL does not necessarily mean “data loss” like you infer. IMHO, complex/dynamic queries/reporting are best served from an RDBMS. Often the query functionality for a NoSQL DB is limited. It doesn’t have to be a 1 or the other choice. My experience has been using RDBMS in conjunction with NoSQL for certain use cases.
What is the difference between relational and NoSQL?
Relational databases come with a rigid pre-defined schema and operations that significantly change the data structure can be computationally expensive; especially when your system already contains large quantities of data. Most of NoSQL databases are schema-less; therefore data can be stored in any format.
Should you choose a NoSQL database like MongoDB?
For example, some applications storing most of their data in a document database like MongoDB, but supplement that with a graph database to capture inherent connections between people or products. If you have these requirements, then you should consider adopting a NoSQL database like MongoDB.