To get the MongoDB native driver working exceptionally well requires minimal code. However, for any long-term projects, I have migrated away from Mongoose back to the native driver, and here’s why: Before anyone accuses me of making sweeping statements, let’s break down my points in more detail.

Let’s take it a step further. This is one of the initial queries for a node-mongo developer; and probably one of the most important ones. There is an interesting blog that’s done some benchmarking, but it’s a year old so take it with a pinch of salt. Cause you know that the inventories will have fixed properties. Stackoverflow Answers did not help that much as they told what I knew already. Generating Random Colors in JS + Dark, Light colors, Typescript Basics: Interfaces, Literal Types, Unions and Intersection Types (Part 2). When building any servers, reducing your bundle size is essential. When starting with MongoDB, I went with Mongoose and I encouraged others to do the same. The CRUD service should use the native driver, as all it does is CRUD actions on collections based on what other services request from it. For any long term project, maitainability is a big factor. Looks like my effort for creating index wasted. You can choose your diver basing on the conditions and according to your situation; but the point I strongly believe is, nothing sould be more important than performance. I will insert the following documents in following benchmarks, Insert will only insert one record at one time. Most of my long term projects or applications transition to microservices and this is where Mongoose becomes an issue. in Javascript. Well, thankfully MongoDB has developer and business support — a fantastic team, there to help you fix any issues and find solutions to your challenges. There has to be a fixed schema. Because one use Object Relational Mapping (ORM) and another Object Document Mapping (ODM); so chainging the driver later on in your project can immensly increase your work. But I think MongoDB’s tools and frameworks, combined with a few other things like Joi, gives a fantastic lightweight result without touching Mongoose. Pretty same for both! For any long-term project anyway, in my opinion, you should start natively with Mongo. Honestly, why add something else to all that by learning Mongoose? Now, schemas, methods, and statics are useless to me, so it’s a waste having Mongoose there. This is one of the initial queries for a node-mongo developer; and probably one of the most important ones. Separation of concerns? But the only thing is, you yourself have to write good piece of code. Because one use Object Relational Mapping (ORM) and another Object Document Mapping (ODM); so chainging the driver later on in your project can immensly increase your work. CRUD operations using mongodb native is really faster than mongoose. Joi allows me to create complex object validation in a pinch. Easy to maintain code reduces your project cost very much. Well, in terms of performace, the low level things are always better; no doubt. I usually end up creating a CRUD service, for performing CRUD operations only. 3. Results are. So, is it a disadvantage to have a fixed Schema? Anyway, if you’ve never given the native driver a go, you should — I promise you’ll like it. You can check out all of Mongooses dependencies at the following link: If you have not used Joi before go check it out, it will seriously blow your mind with the ease of setup.

This doesn't hamper the scalability feature of mongo; because if in future if your app grows and there is a need to add few more fields, you can modify the schema and work accordingly (which is certainly not a bis task). Abstruction layer of mongoose does all these for you. The source code for running the test is here: Source Code. There are situation when a fixed schema can become a curse. If you want help or have further questions about how I use MongoDB, feel free to reach out. If you follow good coding structure, you abviously can make the app good. I don't know if you are interested, but it might not be too late to register for M101JS: MongoDB for Node.js Developers at MongoDB University. Mongoose or mongodb native driver, which one to use? This time, I have inserted 100 records at one time and this should cover most bulk insert options. Mongoose: If you are developing an app for a client which wont be having millions of users or very high read/write concurrency, and you want to develop it fast, than there is no reason not to select mongoose. Try to relate the scenario of your project with them, I hope you will be able to find out which one is the best for you. All systems have bugs. NOTE: Busy on my new Project (Website to talk to strangers): Talknonymous. You get your project set up quickly — Mongoose handles so much boilerplate for you, it’s fantastic. In ORM, which mongoose is using, you have to define your schema structure. mongoose是mongoDB的一个对象模型工具,是基于node-mongodb-native开发的mongoDB的nodejs驱动,可以在异步的环境下执行。同时它也是针对mongoDB操作的一个对象模型库,封装了mongoDB对文档的一些增删改查等常用 Got an issue on the server? Mongodb doesn't need any fixed schema. This means my other services can quickly validate the request to the server before sending information to the CRUD service for updating or creating documents in the database.
When you have wrapers like mongoose which forces you to create a schema and do things with the help of models, definately gives your project a structure and thus easily maintainable. And how can we leave out MongoDB Atlas? Clock-In/Out System Part 6: Basic Front End — Angular, #100DaysOfCode Day 40: A Breather to React.js — The Basics, Separation of concerns, especially regarding schema and CRUD requests, One less package in my project means a smaller package size, There are better tools for object validation, The learning curve for MongoDB is not huge. You don't need to take the overhead of creating a connection, closing it in proper time. Please visit and see what one person can do alone. Looks like my effort for creating index wasted. It includes built-in type casting, validation, query building, business logic hooks and more, out of the box.

I Shot You down” - Use of double bangs (!!) This piece shows the native driver outperforming Mongoose, but I’ll let you decide for yourself: Finally, let’s talk about the MongoDB ecosystem, the most magical place in the world. So this optimized handling need to be coded by you if you are making a performant app using mongodb native; for what you have to spend a little extra development time (it's not that hard thing to do).

So will you create a schema for every different kind of product; cause all of them have different property sets? Full disclosure: I’ve not done any benchmarking myself. But may be for any urgent deliverable project I will go with mongoose. I cannot tell you the number of sticky situations or large tasks Compass has saved me from — time and time again. Till now I always prefered mongodb native. MongoDB has fantastic resources and you can get yourself up to speed pretty quickly.

If you have a super cool app with daily active users, your platform can’t be down. It doesn’t care about validation, objects, and model methods — that sort of logic belongs in the service that deals with those objects. Neither of them are hard to adopt. So you need to decide the driver very wisely. Certainly not. Mongoose is not maintained and operated by MongoDB so you can kiss that support goodbye. So, is it a disadvantage to have a fixed Schema? It’s a sweeping statement, I know, but I’m here to tell you to throw away Mongoose and use the native driver. MongoDB’s self-managed platform makes maintaining and setting up a database on any cloud network a piece of cake. Leave it then. Mongoose x 21.45 ops/sec ±6.11% (53 runs sampled), Mongoose x 11.86 ops/sec ±6.05% (57 runs sampled), Mongoose x 1,929 ops/sec ±9.70% (66 runs sampled), Mongoose x 1,427 ops/sec ±9.62% (65 runs sampled), Mongoose x 2.24 ops/sec ±4.32% (15 runs sampled), Mongoose x 2,238 ops/sec ±10.68% (70 runs sampled), Mongoose x 1,004 ops/sec ±19.87% (64 runs sampled), Mongoose x 1,053 ops/sec ±7.50% (71 runs sampled), Mongoose x 118 ops/sec ±10.07% (69 runs sampled), Mongoose x 126 ops/sec ±9.93% (64 runs sampled), Sessionless Authentication using JWTs (with Node + Express + Passport JS), Asymptotic Notation is not for real world, Implement Caching with Redis in Express.js and MongoDB, Utilizing Square’s Delayed Capture: Node.js, Express, MongoDB, Execute a basic AWS Lambda function without any triggers, Benchmarking of Textual Models — Jaccard Similarity.
You cant just open and close it for each request. You can insert or update whatever and however you want. Mongodb doesn't need any fixed schema. Package size. Mongoose x 1,053 ops/sec ±7.50% (71 runs sampled) MongoDB x 2,452 ops/sec ±8.98% (63 runs sampled) Pretty same for both! I’m not saying Mongoose is not worth learning or that using it is terrible practice. Looks like there is negligible difference between insertion whether any additional index is set or not. There has to be a fixed schema. ORM or Object Relational Mapping is based on the principal of having strict models or schemas.

The first thing we need to do is include mongoose in

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