SQL vs. NoSQL
Data Model Flexibility
SQL databases excel in handling structured data, offering a rigid and predefined schema that ensures data integrity and consistency. This structural rigidity makes SQL databases ideal for use cases where data relationships are well-defined
NoSQL databases, on the other hand, provide flexible schemas that allow for dynamic data modeling. This flexibility enables developers to store and process vast amounts of unstructured or semi-structured data without the need for predefined schemas.
SQL databases typically excel in vertical scalability, where hardware resources (e.g., CPU, memory) can be upgraded to enhance performance.
NoSQL databases, however, embrace horizontal scalability by distributing data across multiple servers or nodes. This distributed architecture allows for seamless scaling by adding additional nodes to handle increasing workloads. With this horizontal scaling approach, NoSQL databases can handle massive amounts of data and sustain high performance levels even under heavy traffic conditions.
Popularity and Support
SQL is a popular standard language that is well supported by many different systems. Because of popularity of SQL you will find many resources and support online.
NoSQL isn’t as popular as SQL and as a result resources and support are relatively lacking.