20 Oct

mongoose vs mongodb


For any long-term project anyway, in my opinion, you should start natively with Mongo.

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!

But may be for any urgent deliverable project I will go with mongoose. 218 评论 - But this never means mongodb native has a disadvantage on maintainability. But, it was one liner anyways. In ORM, which mongoose is using, you have to define your schema structure. If you digg in the internet you will find stats also; something like this http://codeandcodes.com/tag/mongoose-vs-mongodb-native/But if you do a single db operation in each web request, and follow the conventional ways of mongodb (opening a db connection, finish your operation and close it) and you have millions of concurrent requests, your app will die.

You could argue you still need to build everything that exists in Mongoose, but this is not true. Installing Mongoose not only installs the MongoDB Native Driver but the following 42 dependencies at the time of writing this blog.

Mongodb doesn't need any fixed schema. And how can we leave out MongoDB Atlas? I really hope that you liked my efforts.

The source code for running the test is here: Source Code. Thanks!

Mongodb doesn't need any fixed schema. I am always open for accepting tiniest mistakes so let me know those too.

Thanks to the straightforward documentation, I picked up Mongoose and built a little app within a few hours. Probably this is where you would like to go with a document mapping way and select mongodb native for that. As someone who used to set up their own MongoDB database using Docker and EC2, this is like dying and going to heaven.

Optimizing the connection, making promises etc. Logically speaking, you’re removing a massive layer of abstraction by using the native driver over Mongoose.

Easy to maintain code reduces your project cost very much. NOTE: Busy on my new Project (Website to talk to strangers): Talknonymous. Joi alone shouldn’t be a reason to drop Mongoose, although it does help with separation of concerns, and I have yet to find a circumstance where Joi has let me down. Now we all know the smaller your package, the better. It’s a sweeping statement, I know, but I’m here to tell you to throw away Mongoose and use the native driver.

When using Compass, you write your queries in the same way you would using the native driver, so it makes even more sense to learn MongoDB. 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). 548 

I am going to start a new project in which I will use schemaless database and when I was doing freecodecamp, I used Mongoose because I was new to this world. The reason is, if something is more performent, than I do not mind to put some extra effort to structure my code and optimize the behavior.

So, is it a disadvantage to have a fixed Schema? Let’s take it a step further.

The beautiful thing about tech is you can say weird phrases and it just sounds intelligent…well maybe to non-tech people, anyway! It’s like if you have two cars but one has the trunk loaded with steel bars.
Powerful tools make up its arsenal. You get your project set up quickly — Mongoose handles so much boilerplate for you, it’s fantastic. I want to go back in time to slap myself.

For any long term project, maitainability is a big factor. Certainly not. Honestly, why add something else to all that by learning Mongoose? 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. I am leaving this article here without doing the UD of CRUD and I will also leave MongooseJS :| and use Native Driver as using them is not hard at all.

When building any servers, reducing your bundle size is essential.
MongoDB’s self-managed platform makes maintaining and setting up a database on any cloud network a piece of cake. Got an issue on the server? Mongoose or mongodb native driver, which one to use? It’s a sweeping statement, I know, but I’m here to tell you to throw away Mongoose and use the native driver.

Let me know and who knows maybe I will also do update, delete and aggregate(join) too. Lets see how mongoose and mongodb native stands against performance and development time. You can insert or update whatever and however you want.

I decided to take the matter into my hands and run a benchmark on these two pieces of software myself. 3.

What does that even mean? To get the MongoDB native driver working exceptionally well requires minimal code.

ORM or Object Relational Mapping is based on the principal of having strict models or schemas. Results are. 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).Eg: If you want to develop a website to sell movie tickets, to store the inventories it's better to have a fixed schema. If you follow good coding structure, you abviously can make the app good. 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. Package size. But I think MongoDB’s tools and frameworks, combined with a few other things like Joi, gives a fantastic lightweight result without touching Mongoose. Till now I always prefered mongodb native.

But you may face other overheads. You never doubted? I created a collection of 1 million records with the structure, Here is results of running different benchmarks on different types of query under different scenarios, When I did not use index and search by strings then the results were pretty close and nothing is clear, Same goes when I used two parameter instead of one, Things got little interesting when I used indexes for searching where MongoDB is significantly faster. MongoDB has fantastic resources and you can get yourself up to speed pretty quickly. The first thing we need to do is include mongoose in Abstruction layer of mongoose does all these for you.

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