Marten VS MongoDB

Id recommend trying out MartenDb. It's not really a PostgreSQL ORM, it actually uses Postgres more as a document database via jsonb. But it's excruciatingly easy to use and schema updates are a breeze (and largely automatic)

Check out Marten for a fully fleshed out implementation https://github.com/JasperFx/marten

We are using ExtCore here to make our app modular: https://extcore.net/, and MartenDB for event store (which is surprisingly VERY simple) : https://martendb.io/

I always loved Marten, it is so simple to use and yet powerful. If you are unfamiliar with it, it is a data access library (like an ORM) that is using JSON serialization and LINQ to store and query data from/to Postgres. It basically turns Postgres into document DB. Comparing it to EF, Marten doesn't require migrations since it stores documents.

You're better off using Postgres (has JSON columns.) If you want a more "document" oriented experience, use Marten: https://martendb.io/

For that part, the samples use EventStoreDB (https://www.eventstore.com/), which is the only mature event store I know in Node.js land. Event Sourcing allows using any database as backing storage. I'm co-maintainer of the Marten (https://martendb.io/), which is a .NET library that allows using Postgres as event store and document db.

Then you should check out Marten (https://martendb.io/). Our intention is to remove the boilerplate, we're using Postgres e having the built-in projections.

Not to be confused with the C# document database built on Postgres.

https://martendb.io/

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.