Advantages and disadvantages of NoSQL Databases

Advantages and Disadvantages of NoSQL Databases

What is a NoSQL database?

Advantages and disadvantages of NoSQL databases

Advantages of NoSQL Databases

Flexibility in data models

  • Schema-less design

    NoSQL databases don’t require a predefined schema. This allows a flexible and dynamic data model. It is particularly important in dealing with unstructured data and data that changes frequently.  Developers modify the data instantly without causing downtime or extensive rework. 

Scalability

  • Horizontal scalability

    Their ability to scale horizontally is one of the most significant features of NoSQL databases. It means you can now add more features to your infrastructure to handle increased loads. 

    The NoSQL databases are ideal for applications with huge data or high traffic. Platforms like social media and e-commerce websites with data are suitable for these databases

High performance specific workload

  • Optimized for read/write operations

    NoSQL databases have been meticulously designed and optimized for high-performance read and write operations. 

Cost-effectiveness of NoSQL databases

  • Open source option

    These databases like MongoDB, Cassandra, and Redis are open source, reducing ownership. NoSQL databases run on commodity hardware, which further lowers expenses. 

Disadvantages of NoSQL databases

Lack of ACID Compliance

  • Unlike traditional SQL databases, which are ACID (atomicity, consistency, isolation, durability) compliant. 
  • Most NoSQL databases follow the BASE (basically available, soft state, eventually consistency) model. This means that they may not always guarantee immediate consistency across all nodes.
  • Which can be a drawback for applications requiring strict transactional integrity.

Limited query capabilities

  • Complex queries 

    NoSQL databases often lack the advanced querying capabilities of SQL databases. This can make it challenging to perform intricate data analysis. It requires additional workarounds and the usage of external tools. 

Learning curve

  • New Paradigm

    NoSQL requires a complete shift of mindset for developers. Developers who are accustomed to SQL databases find it hard to adjust to modern databases. It may lead to fewer community resources, less vendor support, and limited documentation for lesser-known NoSQL solutions. 

Conclusion

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