SQL vs No SQL

[balajiseo]

SQL and NoSQL represent two fundamental database approaches. SQL (Structured Query Language) databases are relational, using tables with predefined schemas. They excel in maintaining data consistency (ACID properties) and handling complex queries with clear relationships, making them ideal for traditional business applications like financial systems.

NoSQL (Not Only SQL) databases are non-relational, offering flexible schemas to store diverse data formats like dоcuments, key-value pairs, or graphs. They prioritize scalability (horizontal scaling) and availability (BASE properties), making them perfect for handling large volumes of unstructured or rapidly changing data, common in web applications, social media, and big data analytics. The choice depends on data structure, scalability needs, and consistency requirements.

[curaqua]

SQL and NoSQL represent two fundamental database approaches. SQL (Structured Query Language) databases are relational, using tables with predefined schemas. They excel in maintaining data consistency (ACID properties) and handling complex queries with clear relationships, making them ideal for traditional business applications like financial systems.

NoSQL (Not Only SQL) databases are non-relational, offering flexible schemas to store diverse data formats like dоcuments, key-value pairs, or graphs. They prioritize scalability (horizontal scaling) and availability (BASE properties), making them perfect for handling large volumes of unstructured or rapidly changing data, common in web applications, social media, and big data analytics. The choice depends on data structure, scalability needs, and consistency requirements.

I find SQL suitable for data systems that need to be clearly organized and easy to query. NoSQL is flexible and easy to expand, especially when the data is large and changes a lot. However, I am not very clear about the consistency between these two types, and do not know when to choose which one in a real project...