NoSQL databases, also known as non-relational databases, have gained popularity in recent years due to their ability to handle large amounts of unstructured and semi-structured data. Unlike traditional relational databases, which store data in tables with predefined relationships, NoSQL databases allow for more flexible and scalable data modeling.
There are several types of NoSQL databases, including document, key-value, column-family, and graph databases. Document databases, such as MongoDB and Couchbase, store data in JSON-like documents, allowing for more dynamic schema design and better support for hierarchical data structures. Key-value databases, such as Redis and Amazon DynamoDB, store data as simple key-value pairs and are often used for caching and real-time applications. Column-family databases, such as Apache Cassandra and HBase, store data in tables with rows and columns, but allow for more flexible column design and horizontal scalability. Graph databases, such as Neo4j and OrientDB, store data as nodes and edges and are often used for social network analysis and recommendation systems.
NoSQL databases also offer other advantages over traditional relational databases, including:
- Scalability: NoSQL databases are designed to scale horizontally, which means that they can handle large…
