NoSQL Query Languages
NoSQL query languages are specialized languages used to interact with NoSQL databases, which store data in non-relational formats like key-value, document, column-family, or graph structures. They provide methods to create, read, update, and delete data, often optimized for scalability, flexibility, and specific data models, unlike SQL used in relational databases. Examples include MongoDB's query language for documents, Cassandra Query Language (CQL) for column-families, and Cypher for graph databases.
Developers should learn NoSQL query languages when working with large-scale, unstructured, or rapidly changing data, such as in big data analytics, real-time web applications, or social networks, where traditional SQL databases may struggle with performance or schema rigidity. They are essential for leveraging the strengths of NoSQL systems, like horizontal scaling and handling diverse data types, making them crucial for modern cloud-based and distributed applications.