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Scalability
- Horizontal Scaling: Easily distribute data across multiple servers.
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Data Model Flexibility
- Dynamic Schemas: When your data structure is evolving or unstructured.
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Performance
- High Volume of Reads/Writes: Low-latency requirements for large datasets.
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Specific Use Cases
- Big Data Applications: Handling massive data and analytics.
- Real-Time Applications: Such as chat apps or IoT platforms.
- Content Management Systems: With varied and flexible content types.
- Consistency vs. Availability: Decide based on your application needs (CAP theorem).
- Data Relationships: NoSQL is better for denormalized data but less ideal for complex joins.