How to use Rezoom.SQL with a C# project?

Reference the F# project containing Rezoom.SQL migrations and queries from your C# solution. The generative type provider creates .NET types that can be used directly, with configuration options for C#-style nullable types to ensure smooth integration.

Rezoom.SQL vs Entity Framework for F# – which should I choose?

Rezoom.SQL excels at compile-time SQL validation and type safety with a custom dialect, while Entity Framework offers broader database support and a larger ecosystem. Choose Rezoom.SQL for strict type checking in F#, or EF for more features and community resources.

Does Rezoom.SQL support MySQL or other databases?

No, Rezoom.SQL only supports SQLite, SQL Server, and PostgreSQL as backends. There is no built-in support for MySQL, Oracle, or other databases, so it's not suitable for projects requiring those.

How to handle dynamic queries in Rezoom.SQL?

Rezoom.SQL is designed for static SQL; for dynamic queries, you may need to use F# conditional logic or fall back to raw SQL strings, which loses the compile-time type safety benefits. The README does not specify built-in dynamic query support.

What are the performance costs of the type provider?

The type provider adds compile-time overhead during development, but runtime performance is efficient due to direct SQL translation. Automatic batching with Rezoom can further reduce database round trips, improving overall application speed.

How to set up flexible migrations for team workflows?

Define migration scripts in SQL files; Rezoom.SQL analyzes dependencies to allow non-linear execution, so team members can work independently. The documentation explains migration trees and configuration for collaborative environments.

Rezoom.SQL — F# ORM with SQL Type Checking

What is Rezoom.SQL?

Rezoom.SQL is an F# ORM that uses a generative type provider to statically typecheck a SQL dialect and translate it to various database backends like SQLite, SQL Server, and PostgreSQL. It solves the problem of runtime SQL errors by validating queries at compile time and inferring schema from migration scripts. This allows developers to write type-safe database queries directly in F# with immediate feedback.

Target Audience

F# developers building applications that interact with SQL databases, particularly those who value type safety and want to catch SQL errors during compilation rather than at runtime. It also suits teams needing flexible migration ordering and cross-language compatibility with .NET ecosystems.

Value Proposition

Developers choose Rezoom.SQL for its deep integration with the F# compiler, which provides static type checking for SQL, reducing debugging time and ensuring correctness. Its ability to generate .NET types usable from other languages and support for multiple database backends offers flexibility and portability not always found in traditional ORMs.

Statically typechecks a common SQL dialect and translates it to various RDBMS backends

Use Cases

Best For

F# applications requiring type-safe database access
Teams needing flexible, non-linear database migration workflows
Projects targeting multiple SQL database backends (SQLite, SQL Server, PostgreSQL)
Developers wanting compile-time validation of SQL queries
Cross-language .NET projects where F# defines data access layers consumed by C# or VB.NET
Applications that benefit from automatic query batching and caching within transactions

Not Ideal For

Projects using databases not supported by Rezoom.SQL, such as MySQL or Oracle
Teams that rely heavily on dynamic SQL generation or complex query builders requiring runtime flexibility
Applications where database schema changes are made directly on live databases without migration scripts
.NET projects primarily in C# or VB.NET without plans to integrate F# for data access layers

Pros & Cons

Pros

Compile-Time SQL Validation

Catches over 45 error types at compile time, including mistyped table names and type mismatches, as shown in the README's error examples like GROUP BY clause issues.

Multi-Database Portability

Translates its SQL dialect to SQLite, SQL Server, and PostgreSQL, enabling code reuse across different backends without rewriting queries.

Schema Inference from Migrations

Infers database schema directly from migration scripts, allowing iterative model changes without a live database, illustrated in the animated GIF of model updates.

Cross-Language .NET Compatibility

Uses a generative type provider to create plain .NET types consumable from C# or VB.NET, with options for C#-style nullable types, as noted in the features.

Automatic Batching and Caching

When integrated with Rezoom, it provides automatic query batching and caching within transactions, reducing database round trips, detailed with execution diagrams in the README.

Cons

F#-Centric Design Lock-in

Deeply integrated with F# compiler and type provider, making adoption difficult for projects not using F# or teams unfamiliar with functional programming concepts.

Custom SQL Dialect Limitations

Relies on its own SQL dialect, which may not support all advanced database-specific features or stored procedures, limiting flexibility compared to raw SQL.

Migration Script Dependency

Schema inference depends entirely on migration scripts; errors or omissions in scripts can lead to incorrect type checking or runtime failures, requiring careful maintenance.

Smaller Ecosystem and Tooling

As a niche F# ORM, it has a smaller community and fewer third-party extensions compared to established options like Entity Framework, which may impact long-term support.

Frequently Asked Questions

What is Rezoom.SQL?

Target Audience

Value Proposition

Use Cases

Best For

F# applications requiring type-safe database access
Teams needing flexible, non-linear database migration workflows
Projects targeting multiple SQL database backends (SQLite, SQL Server, PostgreSQL)
Developers wanting compile-time validation of SQL queries
Cross-language .NET projects where F# defines data access layers consumed by C# or VB.NET
Applications that benefit from automatic query batching and caching within transactions

Not Ideal For

Projects using databases not supported by Rezoom.SQL, such as MySQL or Oracle
Teams that rely heavily on dynamic SQL generation or complex query builders requiring runtime flexibility
Applications where database schema changes are made directly on live databases without migration scripts
.NET projects primarily in C# or VB.NET without plans to integrate F# for data access layers

Pros & Cons

Pros

Compile-Time SQL Validation

Catches over 45 error types at compile time, including mistyped table names and type mismatches, as shown in the README's error examples like GROUP BY clause issues.

Multi-Database Portability

Translates its SQL dialect to SQLite, SQL Server, and PostgreSQL, enabling code reuse across different backends without rewriting queries.

Schema Inference from Migrations

Infers database schema directly from migration scripts, allowing iterative model changes without a live database, illustrated in the animated GIF of model updates.

Cross-Language .NET Compatibility

Uses a generative type provider to create plain .NET types consumable from C# or VB.NET, with options for C#-style nullable types, as noted in the features.

Automatic Batching and Caching

When integrated with Rezoom, it provides automatic query batching and caching within transactions, reducing database round trips, detailed with execution diagrams in the README.

Cons

F#-Centric Design Lock-in

Deeply integrated with F# compiler and type provider, making adoption difficult for projects not using F# or teams unfamiliar with functional programming concepts.

Custom SQL Dialect Limitations

Relies on its own SQL dialect, which may not support all advanced database-specific features or stored procedures, limiting flexibility compared to raw SQL.

Migration Script Dependency

Schema inference depends entirely on migration scripts; errors or omissions in scripts can lead to incorrect type checking or runtime failures, requiring careful maintenance.

Smaller Ecosystem and Tooling

As a niche F# ORM, it has a smaller community and fewer third-party extensions compared to established options like Entity Framework, which may impact long-term support.

Frequently Asked Questions

Rezoom.SQL

What is Rezoom.SQL?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

Rezoom.SQL

What is Rezoom.SQL?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?