MongoDB VS Marten

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?

🗄️ Database: Comes with built-in support for MongoDB and a reactive data layer that automatically pushes database changes to the frontend. Also, Meteor conveniently embeds MongoDB in its local development environment. This means you don't need to install or configure MongoDB separately to start building and experimenting with MeteorJS projects.

MongoDB is trusted by developers around the world and is used by companies such as eBay and Craigslist, according to MongoDB’s official site.

This time, were looking at Amazon DocumentDB a managed NoSQL document database, MongoDB-compatible and optimized for AWS.

And finally Mongo DB, for our data storage. MongoDB is a popular open-source, NoSQL (non-relational) database management system that stores data in flexible, JSON-like documents with dynamic schemas. It is designed to be scalable, high-performance, and suitable for handling large volumes of data and complex data structures, making it a popular choice for modern web applications and cloud-based services.

MongoDB

You can check Marten, that I was co-maintaining: https://martendb.io/. It doesn't have MongoDB-compliant API, but it's mature, stable and efficient.

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.