MongoDB VS neon

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

Disclaimer: this newsletter is sponsored by Neon.

We’ll use Neon Serverless Postgres as our database. It’s a fully managed, cloud-native Postgres that’s free to start, scales automatically, and works great for AI agents that need to query data on demand without managing infrastructure.

Neon Neon is a serverless Postgres database that scales up and down based on your application workload by separating storage and computing. When you develop your app, you don’t need to worry about the cost of using it. Neon scales to zero when the database is not in use. When you deploy your app to production, you don’t need to worry about the capacity of your database; Neon automatically scales to the demands of your workload. It’s the perfect database for working with serverless architecture. Neon applications can be deployed traditionally and connected over TCP using any Postgres driver. However, more teams are leveraging edge deployment in environments where they can’t establish a direct TCP connection, such as Cloudflare workers, AWS Lambda, and Vercel Edge functions. Neon provides a low-latency serverless driver for such deployments, working over both WebSockets and HTTP for efficient real-time and request-based interactions.

Neon — Ship Faster with Postgres (https://neon.tech) | Remote | Full Time

Neon is a distributed team building an open-source, cloud-native Postgres platform. We are a well-funded startup with deep knowledge of Postgres internals and decades of experience building databases. Our storage layer is written in Rust, and our cloud control plane is written in Go. We are on a mission to enable developers to “Ship faster with Postgres”. We are hiring for:

* Product Engineer to work on the UI/UX for an agent. Experience with full-stack development and AI is required.

If you want to learn more about the engineering work we do, check out some of these blog posts:

* https://neon.tech/blog/how-we-scale-an-open-source-multi-ten...

* https://neon.tech/blog/paxos

* https://neon.tech/blog/architecture-decisions-in-neon

Please email me directly via david at neon dot tech!

We will need a real database to apply migrations and store our data. You can install Postgres on your machine or use a Cloud Platform like Neon, Render, etc.

Neon provides a cloud-based, scalable implementation of PostgreSQL that can run on your physical hardware or through their managed services. Its architecture is separated into “compute” (for Postgres) and “storage” (a multi-tenant key-value store for Postgres pages), allowing Neon to gain true serverless capabilities.

Neon is arguably the closest alternative to Supabase, offering serverless PostgreSQL with branching capabilities. Like Supabase, Neon is built on Postgres, but provides several distinct advantages:

Neon serverless databases can be integrated with Cloudflare Workers to process data. Neon provides you with a serverless driver that you can use to connect to your database and then create access data from your database in Cloudflare Workers. Neon’s serverless driver is optimized for edge environments, enabling SQL queries over HTTP or WebSockets. This makes it ideal for Cloudflare Workers, which run in a lightweight, distributed manner without persistent connections.

To store structured data, you’ll be using a serverless instance of Postgress provided by Neon. Start by heading to neon.tech and creating an account if you don’t have one. Create a new database and copy the connection string as shown below.