What are the pros and cons of NoSQL?

7 Pros and Cons of NoSQL

• Flexible Scalability. Unlike rational database management model that is difficult to scale out when it come to commodity clusters NoSQL models make use of new nodes which makes them transparent for expansion.
• Stores Massive Amounts Of Data.
• Database Maintenance.
• Economical.

What are the different issues faced by enterprises when it decides to use NoSQL technology?

There are technical challenges, as well. Most prominent are those dealing with the lack of ACID guarantees. NoSQL databases deliberately punt on certain ACID properties and instead gain a powerful scale-out capability for modern cloud workloads, optimized for fast and efficient read-heavy apps.

What are the advantages and challenges of Rdbms vs NoSQL?

Compared to RDBMS, NoSQL databases are flexible and scalable, and also have superior performance. RDBMS does not scale out easily on commodity clusters while NoSQL can expand transparently to take advantage of new nodes, thus substantially reducing commodity hardware costs.

What is the main challenge of the traditional relational databases?

Scaling Relational Databases Is Hard Achieving scalability and elasticity is a huge challenge for relational databases. Relational databases were designed in a period when data could be kept small, neat, and orderly.

What are the advantages and disadvantages of using database?

The advantages of using a database are that it improves efficiency, facilitates organization and eliminates useless information, while disadvantages are compatibility problems with computers and significant software and startup costs.

What is SQL and NoSQL?

Key Differences Between SQL and NoSQL. SQL or structured query language is associated with relational databases and is used to process structured database, while NoSQL databases are not relational. NoSQL databases are mostly document-oriented, non-structured and distributed, unlike SQL databases.

What is a NoSQL DB?

NoSQL is a class of database management systems ( DBMS ) that do not follow all of the rules of a relational DBMS and cannot use traditional SQL to query data.