apollo-tooling VS MongoDB

Apollo is deprecating their tooling, best to go with GraphQL Code Generator.

Alternatively, you can use Apollo GraphQL or any dependency of your choice to make API request.

When you talk about GraphQL, one simply cannot forget GraphQL Tools irrespective of the architecture or stack you use. Initially developed by Apollo and then taken over by The Guild, GraphQL Tools provides you a very powerful set of utility functions to work with GraphQL which you can use in your services irrespective of whethere you are using something like Apollo Federation or Schema Stitching.

The Apollo CLI when combined with Federation does come with a lot of helpers to take care of things like pushing the schema, listing the services in the studio, doing codegen and so on though I am not currently sure why they are rewriting it again to Rust apart from the reasons as suggested here.

ApolloGraphql: https://apollographql.com

The tech stack I used for this site was: Prisma w/ GraphQL-Yoga / Apollo & GraphQL / Express / NextJS / MongoDB

This is great, thanks. I'm wondering if you still need to explicitly reference types, such as with Apollo's codegen where you would do something like useQuery or is it fully automatic like in the gif in the article?

https://github.com/apollographql/apollo-tooling#apollo-clientcodegen-output

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.

We will be using MongoDB as a database on both the Auth microservice and notifications microservice, sign up for a MongoDB Atlas account here incase you donot have one and donot have its desktop application(mongodb campass) installed and would like to use mongodb atlas. This cloud-based database service offers a free tier and simplifies the process of managing MongoDB databases.

Head over to MongoDB and create an account or login to grab your connection string.

MongoDB, a document-oriented NoSQL database, will be our data powerhouse. We'll utilize the mongo-driver library to seamlessly connect our Golang application to MongoDB. This section will cover essential database interactions, including creating collections, storing metadata, and efficiently querying for image-related data. Understanding these fundamentals is crucial for building a robust image storage and retrieval system.