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Abstraction: It abstracts data source details, providing a consistent interface for data operations across diverse storage mechanisms.
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Modularity: Repositories encapsulate data logic, enabling modular and reusable code components.
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Maintenance: Changes to data source or structure are localised within repositories, simplifying maintenance efforts.
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Testing: Repositories facilitate isolated unit testing by allowing mock implementations.
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Caching: Data caching can be implemented within repositories for improved performance.
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Query Logic: Complex queries and filtering logic are centralised in repositories.
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Database Agnosticism: The pattern enables flexibility in switching between different data sources.
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Security: Repositories can enhance security through parameterised queries and validation.