Understanding Document-Based Databases
Unlike traditional relational databases, which organize data into tables with predefined schemas, document-based databases store data in flexible, self-descriptive documents. These documents, typically in JSON or BSON format, encapsulate information in key-value pairs or nested structures, resembling the hierarchical nature of real-world objects.
This schema-less approach liberates developers from the constraints of fixed schemas, enabling them to iteratively evolve data models in response to changing requirements.
Schema Design and Relationship in NoSQL Document-Base Databases
NoSQL databases are powerful alternatives to traditional relational databases, offering flexibility, scalability, and performance. Among the various types of NoSQL databases, document-based databases stand out for their ability to store and retrieve data in flexible, schema-less documents.
In this article, we will explore the intricacies of schema design and relationships in NoSQL document-based databases through real-world examples.