Relational vs. NoSQL

relational database vs nosql


Not all data is relational and sometimes relational data benefits by being stored in a way optimized for the use case. There are many alternatives to relational databases that could be a better fit for your particular business need. Wide column, document, graph, key-value. Types of nosql db’s


Relational databases store data organized as table structures. Tables can be linked with each other based on a defined relation. That way users can access the data in relation to another piece of data.




Data model optimized for the use case

NoSQL databases give you the possibility of choosing the best tool for the job. If your data is not relational, or the usage patterns don’t fit the way RDBMS work, you still have plenty to choose from. E.g. wide column Cassandra, document MongoDB, graph OrientDB or key-value Redis.


Support for semi-structured and unstructured data

The amount of unstructured data is growing. Relational databases with their traditional approach of storing normalized data might become a bottleneck for your project and moving to a NoSQL store could be a better approach.


Easily scalable with high availability and performance

Many NoSQL stores are created with scalability and performance at its roots. Easy sharding and replication gives the ability to easily scale out helping your system with both performance and availability.



Data Consistency

Data consistency is achieved through transactions that describe a sequence of operations as a single unit of work. If consistency rules of a database are violated, the entire transaction will be rolled back.


Overall Maturity

Relational databases have over 50 years of history. The relational model is well-known and understood by software engineers and SQL is well known by data analysts.


Reduced Redundancy

Data redundancy is reduced through the process of normalization. This allows to store less data and to have a clearer database schema design.

When to use


NoSQL databases are a great fit when dealing with large amounts of unstructured data

When the structure of data doesn’t fit the flat normalized model of relational databases.

When there’s need for high availability and the eventual consistency is not a problem


An RDBMS is a great fit for transaction-oriented systems such as customer relationship management tools, accounting software, and e-commerce platforms.

Great fit for structured data




Let’s talk about your project

    We will reach out to you in less than 48 hours
    to talk about your needs.

    We will perform a free tech consultation
    to see which stack fits your project best.

    We will prepare the project estimate in 3 days
    including the scope, timelines, and costs.

    Close modal

    Your message has been sent!

    We'll get back to you soon!