Express VS MongoDB

First, we will install Express.js and Socket.io using the below command:

Node.js with Express (https://expressjs.com/)

So that’s the first big downside of building a REST API without using packages like express.js - you have to build all the route handling yourself, plus add some support for middlewares.

Express.js Documentation

Express.js was created around the time callbacks were _the_ architecture in Node.js. The world, including UI, quickly found callbacks do not compose well, and void return values are hard to test because of side-effects. Promises were created so you could compose functions, but still have control where your side-effects go. This negates the need for middlewares / callbacks.

The Devvit team just announced a new experimental way to build WebView based apps for Reddit. Previously only static HTML/JS/CSS could be used. With this new version, it is possible to run server-side code through Node including spinning up an Express server.

Basic knowledge of JavaScript and Express

With that set, we can import callOpenAI on a controller. I am using express to manage the API endpoint.

The basis of my small API proxy is the NPM package http-proxy-middleware from Steven Chim, which I utilized to build a system that can be used via configuration for various endpoints and that runs on a server under the Node.js framework Express.

Fiber: Go framework inspired in express.

Alternatives to: RocksDB, eXist-db, MongoDB

It is helpful to consider how major platforms choose between database sharding vs partitioning, as this offers practical examples and advice. ** MongoDB and Sharding** MongoDB allows for the creation of shards with multiple copies. This is often used in apps like real-time analytics, gaming, large SaaS platforms, etc. For example, creating shards for a “users” collection by region to provide faster access and other local data benefits.

But sometimes we have to consider other NoSQL options, like MongoDB. Why do we want to choose MongoDB over DynamoDB? Here are some reasons:

Dual Licensing: Projects like MongoDB provide different licensing for non-commercial and commercial usage.

One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget – a theme echoed in several indie hacking success stories.

Data base: MongoDB

MongoDB: MongoDB is a popular NoSQL database that provides flexibility and scalability. It offers a document-oriented data model and can handle a variety of use cases. MongoDB is known for its ease of use and rich query capabilities.

Companies offering software as a service (SaaS) can adopt licenses such as the GNU Affero General Public License (AGPL) or the Server Side Public License (SSPL). For instance, early versions of MongoDB were released under AGPL, ensuring that even in a cloud environment, source code modifications remain open.

Dual Licensing: Some projects use a dual-licensing model in which the open source version is free, while a commercial version is offered to generate revenue (see examples such as MongoDB and ElasticSearch).

There are no commits or tags for two months: https://github.com/mongodb/mongo/commits/master

In the meantime, 8.0.5 and 8.0.6 were released: https://www.mongodb.com/docs/manual/release-notes/8.0/

Those appear to be patch releases for major releases, not rapid releases, so the source should be available: https://www.mongodb.com/docs/manual/reference/versioning/

There is a forum post without an answer: https://www.mongodb.com/community/forums/t/source-code-in-github/316442

Is MongoDB no longer source-available?