Category: Web Development

MongoDB and GraphQL: A Perfect Match

May 15, 2026

GraphQL is a powerful and efficient way to build APIs. The client queries the API, similarly to how they would a database, and that API returns only the data that they've requested, often reducing the response payload and improving response times. Low response times are critical in the modern world.

When the GraphQL API is paired with MongoDB, you're not only getting those fast response times, but you're also getting a data format that is consistent from start to finish.

Imagine this: Your client is executing a GraphQL query and that query looks similar to JSON. When the data reaches your application—which, let's say, is TypeScript in this example—you're now working with a data format that is similar to JSON in your application. Taking it a step further, when working with MongoDB, the data you send to and from MongoDB will also be similar to JSON. So what you're getting is that consistent data experience on top of performance. No need to worry too much about manipulating and formatting your data, and instead you get to focus on the user experience of your application, not the database and tooling.

In this tutorial, we're going to see just how easy it is to use MongoDB in your GraphQL API, this time built with TypeScript.

May 8, 2026

Nic Raboy

Almost every modern web application will need a REST API for the frontend to communicate with, and in almost every scenario, that frontend is going to expect to work with JSON data. As a result, the best development experience will come from a stack that will allow you to use JSON throughout, with no transformations that lead to overly complex code.

Take MongoDB, Express Framework, and Node.js as an example.

Node.js and Express Framework handle your application logic, receiving requests from clients, and sending responses back to them. MongoDB is the database that sits between those requests and responses. In this example, the client can send JSON to the application and the application can send the JSON to the database. The database will respond with JSON and that JSON will be sent back to the client. This works well because MongoDB is a document database that works with BSON, a JSON-like data format.

In this tutorial, we'll see how to create an elegant REST API using MongoDB and Express Framework.

May 6, 2026

Nic Raboy

Do you struggle with interviews? You're not alone! You can have the best interview notes in the world, but when you start having that vocal conversation, you might end up a deer in the headlights, freezing and forgetting everything you thought you prepared for.

There's good news though!

With modern AI tools like LiveKit, you can have a voice conversation with an AI agent, mocking a real interview experience. Imagine uploading a job description and your resume and being immediately paired with an expert (the agent) to ask you real questions for the job and providing feedback on how you answer and present yourself.

In this tutorial we'll explore using LiveKit and TypeScript, paired with various LLM models and Apache Tika, to establish a very realistic interview coaching experience.

April 28, 2026

Nic Raboy

If you're just starting to dabble with MongoDB, you've probably come to a point where your documents are looking a little complex. These documents might have gone from flat, relational-looking pieces of data to something with nested objects, nested arrays, and maybe even four or five more levels of nesting. So how do you query this data when it is a few layers deep?

In this short tutorial, we're going to look at dot notation within MongoDB and see how we can very quickly and easily filter our documents based on data that contains certain values in the nested fields.

April 13, 2026

Nic Raboy

Almost every modern web application will need a REST API for a client to talk to, and in almost every scenario, that client is going to expect JSON. The best developer experience is a stack where you can stay in JSON-shaped data end to end, without awkward transformations in the middle.

Take MongoDB, Express Framework, and Node.js as an example.

Express receives HTTP requests and sends responses. MongoDB sits in the middle and stores documents. The client can send JSON to your routes, your routes can send documents to MongoDB, and MongoDB can hand BSON back that maps naturally to what you serialize in the response. That works well because MongoDB is a document database. When you also want text search over fields like title and plot, MongoDB Search gives you a $search stage in an aggregation pipeline on the same cluster, so you are not bolting on a separate search system just to power a search box.

In this tutorial, we'll see how to build a small movie watchlist API using TypeScript and MongoDB. We'll explore a few different schema design opportunities and make use of MongoDB Search for full-text search.

May 9, 2025

Nic Raboy

Content platforms evolve as business strategies shift. At MongoDB, we embraced external publishing platforms like Dev.to, Medium, The Polyglot Developer, etc. to better engage developer communities, requiring us to redistribute content while maintaining our existing CMS data in MongoDB.

To support our multi-platform publishing strategy, we created a system to publish content between our MongoDB CMS and external platforms. As a result, we needed to migrate the content we had in our CMS to its new home. The migration process included exporting the written content stored in MongoDB and downloading a copy of the media assets that were stored on third-party servers.

In this tutorial, we'll explore the export process to get the job done with as little friction as possible.

May 6, 2025

Anaiya Raisinghani

Interested in diving into our Django MongoDB Backend integration? Follow along with this quickstart to create a Django application, connect that application to a MongoDB deployment, ensure your deployment is hosted on MongoDB Atlas, and interact with the data stored in your database using simple CRUD operations.

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