mojo VS MongoDB

Initial thoughts

If you end up doing web development, check out Mojolicious:

https://mojolicious.org/

If you choose to go down the Mojolicious road, there's lots of deployment information and guides in the Mojolicious Cookbook.

I guess this will make it harder to search for Mojo(licious)-related stuff. 😩

But if I want the return value of 'test_p' or the error message 'This is an error', I can't seem to figure that out. I tried looking at the promise tests (https://github.com/mojolicious/mojo/blob/main/t/mojo/promise.t) but that didn't seem to work either.

Several! The 3 big players in order of release are Catalyst, (released in 2005), Dancer2 (Dancer was first released in 2009, but went through a complete re-write as Dancer2 around 2013), and Mojolicious (released in 2010).

This project sounds to me like the perfect excuse to learn Mojolicious if you're interested in converting your scripts into a web application using Perl.

Awesome! I still use Perl on a pretty regular basis both for work and fun. I really enjoy it. Definitely take a look at Mojolicious if you haven't already. It's primarily focused on being a web framework (both server and client), but it's nicely modular so you can use bits and pieces of the stack. In i3mojo, I used the Mojo::IOLoop event loop, Mojo::Base as a base class system, and Mojo::UserAgent as a web client for some plugins.

Last time I used Perl for anything web it was via https://mojolicious.org/

It even does event-based and websockets

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

MongoDB

First, visit MongoDB Atlas and create an account, or sign in if you already have one. This article will guide you through the process of creating a MongoDB account. You should be redirected to your dashboard once you have completed the process. Locate the Connect button and click it.

On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.

I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.

In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.

MongoDB to store our data as documents, close to JS objects

MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.

MongoDB

Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.