FriendlyData VS Dapper

• Ease of Use
  FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
• Time-Saving
  By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
• Integration
  FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

• Complex Queries Limitation
  While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
• Language Ambiguity
  Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
• Dependency on Vendor
  Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

• Performance
  Dapper is known for its high performance as it uses raw SQL queries and maps results directly to objects, which reduces the overhead of ORM frameworks.
• Lightweight
  It is a micro ORM and thus does not add significant weight to the application. It only requires a single DLL, which is simple to integrate.
• Flexibility
  Dapper provides the flexibility to write complex queries and take full advantage of SQL features, performing tasks that are cumbersome with full ORMs.
• Easy Mapping
  Allows easy mapping of data from the database to C# objects, helping developers handle the conversion between the two seamlessly.
• Open Source and Support
  Dapper is open-source and has a strong community support with regular updates and a wealth of resources available for learning and troubleshooting.

Possible disadvantages

• Lack of Built-in Features
  As a micro ORM, Dapper lacks some of the advanced features present in full-featured ORMs like Entity Framework, such as change tracking and full LINQ support.
• Manual SQL Queries
  Developers need to write SQL queries manually, which can increase the risk of SQL injection and bugs if not handled carefully.
• No Automatic Migration
  Unlike some ORMs, Dapper does not offer automatic database migration capabilities, requiring developers to handle schema changes separately.
• Limited Database Support
  While Dapper supports many popular databases, it may not support niche databases or specific features that are easily managed by other ORMs.

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  Dapper is another .NET Core mapping library focusing on the mapping between the programming language and database.

Tracking FriendlyData since Mar 2021.

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