Pusher VS MongoDB

Pusher Channels is a real-time notifications service that empowers developers to swiftly integrate real-time functionality, like live notifications and chat, into web and mobile apps using WebSockets. Pusher is known for reliability and scalability and is used by Buffer, GitHub, and Datadog.

Pusher

Typically, you don't do websockets. There are some great products out there that give you the same capabilities. I recently started working with Pusher for my Remix applications and am loving it!

According to Vercel's website SocketIO is NOT supported, however Pusher Channels is recommended in it's place. Not sure what it is, but it supposedly is supported by vercel and potentially can help.

Pusher is a hosted service that makes it super-easy to add real-time data and functionality to web and mobile applications. It sits as a real-time layer between your servers and your clients. Pusher maintains persistent connections to the clients — over WebSocket if possible and falling back to HTTP-based connectivity — so that as soon as your servers have new data that they want to push to the clients they can do, instantly via Pusher.

Then watchPosition from @react-native-community/geolocation is definitely the way to go. Here's a link to the example in their repo. This will constantly update the position state variable, which you can then send to a realtime service which other users are subscribed to and consuming. (Depending on your implementation, could be a websocket or some pub/sub service... I've worked with Pusher Channels before for something similar.)

An easy way to start with is to use external Pusher channels service It requires 0 devops and everything works very well, for free at least at the beginning. However, like any external service, it can't scale without paying. "Pay as you grow".

I see that NextJS now recommends a pub/sub approach Vercel Support Your client will need to subscribe to the events from a 3rd party service like Pusher Channels and the Pub should be handled by a serverless function

Centrifugo is very similar to pusher.com Channels product (https://pusher.com/channels) – but self-hosted. Also – somewhat similar to socket.io - but not a library, so can work with any backend. Centrifugo is pretty unique in terms of available features sum – so can't say that there is a direct analogue I've heard about - sth from one product, sth from another, sth unique. And of course there are alternatives which can do what Centrifugo can't since the market of real-time servers is quite big.

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.