On the other hand, relational databases require a predefined data model and structured data. They offer advanced functionalities to manage, update and query data using SQL. They have various benefits such us preserving the integrity, the consistency and the reliability of data and transactions. There is no doubt that relational databases ensure more reliability in comparison to NoSQL databases. Indeed, SQL databases save the reliability and the integrity of data and transactions by respecting ACID properties.

However, ensuring ACID properties is hard to achieve in the case of huge growing datasets. That is why NoSQL databases instead rely on basically available, softstate, eventually consistent (BASE) principals. Thus, they offer a flexible architecture to handle not only structured data but also unstructured and semi-structured data. Users can easily perform frequent code pushes and quick iterations.

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It is worth mentioning that both ACID and BASE properties are derived from consistency, availability, partition tolerance (CAP) theorem. BASE principles are more flexible than ACID principles whereas ACID properties ensure more consistency and transaction reliability. However, those two qualities are achieved at the cost of performance and important investments. Thus, depending on the use case and business needs, users have to analyse their needs in terms of flexibility and performance. They can choose either relational database to guarantee consistency through ACID properties or NoSQL databases when flexibility and performance are privileged to handle large datasets and to manage multiple servers in a cluster, even if flexibility means less integrity


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