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Differences between RDBMS and NoSQL
When comparing a Relational Database Management System (RDBMS) and a Non-Relational Database Management System (NoSQL), the main differences lie in their structure, scalability, and relationships:
- Structure: RDBMS stores data in rows and columns within tables, following a predefined schema. NoSQL databases, on the other hand, use various data models such as key-value, document, column-family, or graph.
- Scalability: RDBMS scale vertically, meaning that they are limited by the capacity of a single server. NoSQL databases are designed to scale horizontally, allowing for distributed and flexible database configurations.
- Relationships: RDBMS emphasizes relationships between data through foreign keys and normalization to prevent data duplication. NoSQL databases are schema-less or have flexible schemas, making it easier to store unstructured data and handle larger data volumes.
Ultimately, the choice between an RDBMS and a NoSQL database depends on the specific requirements of a project, with RDBMS being the traditional choice for structured data and complex queries, while NoSQL databases offer greater flexibility and scalability for unstructured data and high throughput applications.
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