Types of NoSQL Databases
1. Document-Oriented Databases
Document-oriented databases store data as JSON-like documents, making them suitable for flexible and hierarchical data structures. Examples include MongoDB, CouchDB, and RavenDB.
2. Key-Value Stores
Key-value stores use a simple data model that associates unique keys with values. They are highly efficient for high-speed data retrieval and caching. Examples include Redis, Amazon DynamoDB, and Riak.
3. Column Family Stores
Column family stores organize data into columns grouped by column families, enabling efficient storage and retrieval of large datasets. Examples include Apache Cassandra, HBase, and ScyllaDB.
4. Graph Databases
Graph databases represent data as nodes, edges, and properties, facilitating complex relationship queries and traversals. Examples include Neo4j, Amazon Neptune, and ArangoDB.
NoSQL Database Design
In the world of modern data management, NoSQL databases have emerged as powerful alternatives to traditional relational databases. NoSQL, which stands for “Not Only SQL” have a diverse set of database technologies designed to handle large volumes of unstructured, semi-structured, and structured data.
In this article, we’ll explore the fundamentals of NoSQL database design, its key concepts, types, and provide examples to help us understand its practical applications.