A native, asynchronous MongoDB driver for Swift built on Swift NIO, designed for server-side Swift applications.
MongoKitten is a native MongoDB driver for Swift, built on Swift NIO for asynchronous, non-blocking database operations. It enables Swift developers to interact with MongoDB databases efficiently in server-side applications, providing a type-safe API and full support for MongoDB features like transactions, aggregation, and change streams.
Swift developers building server-side applications with frameworks like Vapor or Hummingbird who need a high-performance, asynchronous MongoDB driver.
Developers choose MongoKitten for its pure Swift implementation, seamless integration with Swift's concurrency model, and comprehensive feature set that matches MongoDB's capabilities while offering an idiomatic Swift API.
Native MongoDB driver for Swift, written in Swift
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Built on Swift NIO for non-blocking operations, it ensures efficient resource usage in high-concurrency server environments, as highlighted in the README's focus on performance for frameworks like Vapor.
Supports all major MongoDB features including aggregation pipelines, transactions, GridFS, and change streams, making it a full-featured driver that matches MongoDB's capabilities from version 3.6+.
Offers native Codable support via BSONEncoder/Decoder and an idiomatic API that aligns with Swift's modern concurrency model, simplifying type-safe data handling.
Provides both immediate (connect) and deferred (lazyConnect) connection methods, allowing developers to balance boot-time performance with error handling based on deployment needs.
Requires Swift 5.5 or later for async/await support, which limits compatibility with legacy projects or teams slower to adopt newer Swift versions.
Developers unfamiliar with Swift's concurrency model and NIO may find the asynchronous API complex, especially when debugging issues with lazy connections that defer error reporting.
The optional Meow ORM is minimalistic and lacks advanced features like automatic migrations or complex relationship handling, which might not suffice for teams needing a full-fledged ORM solution.