What are the differences between NoSQL databases?

What are the differences between NoSQL databases?

NoSQL databases are designed for specific data models and have different structures compared to traditional SQL databases. They can be categorized into key-value stores, document stores, column-family stores, and graph databases. Each type has its own strengths and use cases.

Can you give examples of each type?

Sure! For key-value stores, Redis is a popular choice. MongoDB is a well-known document store. Apache Cassandra is a column-family store, and Neo4j is a leading graph database.

What are the advantages of using NoSQL over SQL?

NoSQL databases offer flexibility in data modeling, scalability for large datasets, and often better performance for specific types of queries. They can handle unstructured data more efficiently than traditional SQL databases.

Are there any downsides to using NoSQL?

Yes, some downsides include eventual consistency models, which can complicate data integrity, and a lack of standardized query languages, making it harder to switch between different NoSQL systems.