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Challenges solved by NoSQL

 

Challenges Solved by NoSQL

1. Introduction

Modern applications generate huge volumes of data at high speed and in different formats. Traditional RDBMS systems face difficulties in handling such requirements.
NoSQL databases were developed to solve these challenges.

2. Major Challenges Solved by NoSQL

1. Scalability

  • RDBMS supports mainly vertical scaling

  • NoSQL supports horizontal scaling by adding more servers

  • Easily handles growing data and users

2. Handling Big Data

  • Can store massive volumes of data

  • Suitable for structured, semi-structured, and unstructured data

  • Designed for distributed data storage

3. Flexible Schema

  • No fixed schema requirement

  • Easy to add or modify fields

  • Suitable for evolving applications

4. High Availability

  • Data is replicated across multiple nodes

  • System continues to work even if a node fails

  • Ideal for always-on applications

5. Performance

  • Optimized for fast read and write operations

  • Reduces need for complex joins

  • Suitable for real-time applications

6. Distributed Data Management

  • Built for cluster and cloud environments

  • Automatic data distribution and replication

  • Better fault tolerance

7. Reduced Impedance Mismatch

  • Data models closer to application objects

  • Less data conversion required

  • Faster application development

8. Cost Effectiveness

  • Mostly open-source solutions

  • Uses commodity hardware

  • Lower operational cost

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