Aspect	NoSQL Databases
Data Model	Varied (document, key-value, column-family, graph)
Schema	Flexible, dynamic schema
Query Language	Database-specific APIs or query languages
ACID Compliance	Not always (depends on database)
Scalability	Horizontal scaling (scale-out)
Use Cases	Large volumes of data, real-time applications, unstructured data
Examples	MongoDB, Cassandra, Redis, Neo4j, Couchbase

Choosing Between SQL and NoSQL

• Use SQL if: You need complex queries, strong consistency, and a well-defined schema. Ideal for transactional systems and structured data.
• Use NoSQL if: You need flexibility, scalability, and handle diverse data types. Ideal for applications with large volumes of unstructured or semi-structured data.

Summary

Databases play a crucial role in backend development by providing a robust and efficient means of storing and managing data. SQL databases are well-suited for structured data and complex queries, while NoSQL databases offer flexibility and scalability for handling diverse and large datasets. Understanding the strengths and limitations of each type helps in selecting the appropriate database for your application’s needs.