A generic C# repository pattern implementation supporting Entity Framework, RavenDB, MongoDB, and other databases with built-in caching.
SharpRepository is a generic repository implementation for C# that provides a consistent data access layer across multiple database technologies including Entity Framework, RavenDB, MongoDB, and Db4o. It solves the problem of database vendor lock-in by abstracting data access logic and offering built-in caching capabilities. The library enables developers to write database-agnostic code while maintaining support for advanced querying features.
C# developers building applications that need to work with multiple database technologies or who want to implement the repository pattern with built-in caching support. It's particularly useful for teams maintaining applications that may need to switch between different database systems.
Developers choose SharpRepository because it provides a unified repository interface that works across different database technologies while offering built-in caching options. Unlike database-specific implementations, it allows for easier testing, cleaner architecture, and the flexibility to switch between database systems without rewriting data access code.
C# Generic Repository for use with Entity Framework, RavenDB and more with built-in caching options.
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Works with Entity Framework, RavenDB, MongoDB, Db4o, XML, and in-memory storage, providing flexibility across relational, document, and object databases as stated in the README.
Includes built-in caching for AppFabric, Memcached, and System.Runtime.Caching, reducing the need for external caching implementations and simplifying performance tuning.
Supports Specifications, FetchStrategies, Batches, and Traits, enabling complex data operations without writing database-specific code, as highlighted in the features.
Compatible with .NET Framework 4.6 and .NET Standard 2.0, with partial 1.3 support, making it usable in both legacy and modern .NET applications.
Not compatible with CouchDB 2.0.0, and the README notes that integration tests require CouchDB 1.x, indicating potential hurdles with newer database versions.
Running tests necessitates installing CouchDB 1.x, SQL Server Compact, and MongoDB, which complicates development and CI/CD pipelines, as mentioned in the README.
The README mentions timeouts and long test discovery in VS2017 and 'dotnet test', suggesting inefficiencies that can slow down development workflows.