Best of MongoDB — September 2023

  1. 1
    Article
    Avatar of devtoDEV·3y

    Docker Node.js and MongoDB example

    Docker provides lightweight containers to run services in isolation from our infrastructure so we can deliver software quickly. In this tutorial, I will show you how to dockerize Nodejs Express and MongoDB example using Docker Compose. The problem is to containerize a system that requires more than one Docker container.

  2. 2
    Article
    Avatar of awstipAWS Tip·3y

    The Backend part of MNNN Stack: MongoDB, NestJS, NextJS and NodeJS

    Learn about the MNNN Stack, its advantages over a Relational Database, and the purpose of a DTO.

  3. 3
    Article
    Avatar of communityCommunity Picks·3y

    Detailed Introduction To Prisma ORM

    Prisma is an open-source object-relational mapper (ORM) tool for Node.js and TypeScript. In Prisma, you define your models as classes that map to tables in a database. Models are entities that represent data in your database.

  4. 4
    Article
    Avatar of communityCommunity Picks·3y

    Designing and Modeling the Database with Mongoose

    This comprehensive guide provides step-by-step instructions for crafting a scalable MongoDB database design and modeling it effectively using Mongoose ODM. The data layer often acts as the cornerstone that underpins an application's business logic and user experience. The right design depends on your needs and how you intend to interact with the data.

  5. 5
    Article
    Avatar of communityCommunity Picks·3y

    A Gentle Introduction to MongoDB and Mongoose

    Learn how to use MongoDB as your ODM, host your database with MongoDB Atlas, connect your Node.js app to a MongoDB cluster, and explore different methods for data visualization. In this article, we'll discuss Mongoose, an Object Data Modeling (ODM) library for MongoDB and Node.

  6. 6
    Article
    Avatar of pointerPointer·3y

    Inside New Query Engine of MongoDB

    MongoDB has recently released a new query engine coming in version 7.0. It is the smallest of the three, but an absolute pain in the ass to get right. The root cause for performance issues was the data model. The new engine is a mature system which served the customers’ queries since its inception.

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