Getting started with MongoDB and Redis in Rust

1. exploring-rust-ecosystem

   1 4 82 0.0 Rust

   A set of examples that demonstrate how to create a backend application using Rust ecosystem.

   

   The project is implemented with MongoDB Rust driver and redis-rs crate.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. mongo-rust-driver

   2 8 1,483 9.2 Rust

   The official MongoDB Rust Driver

   

   The project is implemented with MongoDB Rust driver and redis-rs crate.

4. redis-rs

   3 19 3,886 9.6 Rust

   Redis library for rust

   

   The project is implemented with MongoDB Rust driver and redis-rs crate.

5. MongoDB

   4 309 27,198 10.0 C++

   The MongoDB Database

   

   This guide will show you how to create a Rust web backend that uses MongoDB, a document-based database, to store data and Redis for caching, rate limiting, and notifications. For visibility purposes, created demo application will also be a web application that exposes REST API. Finally, the following architecture will be obtained:

6. rust-embed

   5 9 1,765 6.6 Rust

   Discontinued Rust Macro which loads files into the rust binary at compile time during release and loads the file from the fs during dev.

   

   But then it turned out that the images can’t be read from the database due to the lack of GridFS support in MongoDB Rust Driver (open ticket). So for simplicity purposes, I decided to use rust_embed crate which allows including images in the application binary at compile time (at the development time they are loaded from a file system). (It is also possible to store images separately from the application; images folder should be mounted as a volume in the Docker Compose service definition)

7. Redis

   6 390 69,519 9.8 C

   For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

   

   This guide will show you how to create a Rust web backend that uses MongoDB, a document-based database, to store data and Redis for caching, rate limiting, and notifications. For visibility purposes, created demo application will also be a web application that exposes REST API. Finally, the following architecture will be obtained:

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