SQL vs NoSQL Databases: Key Differences and Use Cases

Hi Shafique Mulla,

SQL and NoSQL databases differ mainly in how they store, manage, and scale data. SQL databases use structured tables with predefined schemas, making them ideal for applications that require strong data consistency, complex queries, and reliable transactions. They rely on Structured Query Language (SQL) for operations such as joins, aggregations, and transactional processing, and typically scale vertically by increasing the resources of a single server. In contrast, NoSQL databases offer flexible or schema-less data models, storing information as documents, key-value pairs, wide-column tables, or graphs. They use database-specific query mechanisms and are designed for horizontal scaling across multiple nodes, enabling high availability, low latency, and support for massive data volumes. While SQL databases provide strong ACID guarantees and are well-suited for use cases such as banking, e-commerce, and reporting systems, NoSQL databases excel in handling high-velocity, semi-structured data, evolving schemas, and globally distributed applications such as IoT platforms, social media feeds, and large product catalogs.

https://learn.microsoft.com/en-us/dotnet/architecture/cloud-native/relational-vs-nosql-data?wt.mc_id

Thanks,

Lakshmi.