According to Meteor docs,
Today most Meteor apps use MongoDB as their database because it is the
best supported, though support for other databases is coming in the
future.
Also there is a great SQL ORM for Node — Sequelize
The question is: will Meteor and Sequelize combination work? Is it worth spending time on mixing them in one app? Or Meteor's Collection class tightly relies on MongoDB and it will be too complicated to implement Sequelize backend with it?
Related
How does one use a NodeJS back-end to execute a function then store that value into a database?
A popular approach is to combine Node.JS (as a REST API back-end server) with MongoDB (a NoSQL database system). The Node.JS application exposes a series of endpoints for the outer world to interact with (e.g. create user, delete user, update user's preferences, etc.) and, under the hood, each endpoint has its own business logic, related to its scope.
Check out this guide for more.
A common approach is to use a ORM in case of relational databases, two popular ORM in node.js ecosystem are sequelize and TypeORM, in case of databases like MongoDB you can use a ODM a popular library is mongoose
There is a lot of tutorials in the web this one of my favorites one using: Node, Express (Web Server) and MongoDB
I'm going to build a Nodejs application with Postgresql as back end. I'm not going to use ORMs like Sequelize due to poor documentation and performance problems or any other ORM - ORM is an anti-pattern.
I found node-postgres and pg-promise are candidates in this regard. So, can anyone clarify the scenarios which one of the tools is better than the other or which one is way to go with description, provided that node-postgres has been developing since 2010 and pg-promise since 2015.
pg-promise uses node-postgres internally. AFAIK pg-promise is a promise-based set of higher-level APIs on top that you might find useful. I'd recommend using whichever you feel more comfortable with. I'm the author of node-postgres.
Hey everyone I am working on nodeJS app. I searched some modules to manage my database (orientdb).
My question is: Why we use any ORM or ODM (or why is it recommenced), because there is a module which can provide many functions to manage DB.
I am still confused what should I use orientorm (https://github.com/mav-im/orientorm) or oriento (https://github.com/codemix/oriento)
Thank in advance..
Depending on the goal and depending on the ORM, ORMs have the advantage of adding support for:
schemas / models / collections: this makes it easier to create all classes/properties and, in some cases, migrations;
validations: make it easier to verify what gets saved in the DB.
All OrientDB ORM's I've seen for node.js expose Oriento, so that makes it easy to access the underlying oriento methods for doing more complex stuff.
Having said all this I recommend you try the waterline ORM with waterline-orientdb adapter. Waterline is an adapter based ORM with support for multiple databases (including support for associations between databases). Waterline-orientdb is the adapter for OrientDB which is based on Oriento. If at any point you need to use Oriento you can call .getDB() to access Oriento's instance.
Oriento is much more mature and supported. I suggest you to go with it.
What is the optimal way to perform CRUD operations when using Node.js with MongoDB. Can I reuse the same queries that work on mongo shell? What advantages does a ODM like mongoose provide? Any other ODMs which fit into the mean.io stack?
vmr.
Well, I guess it depends of what you want to do.
Lets take what Mongoose says in their website:
Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
Resuming what I understood of that it helps you to model your database and helps you to mantain your logic organized using model like in an MVC. It's a very mature ODM and very recomended for using with MVC.
In my personal experience I started using Monk, which did the trick for a while, but the I started to need to use aggregate and other stuff that apparently Monk can't handle. And I don't wanted to tie my system to an model because is a very mutable project, so I started using Mongoskin which is, at least for now, perfect for me because I can use pratically the same query that I use at Robomongo (Which is like a Navicat, PgAdmin, PhpMyAdmin but for MongoDB) in my ExpressJs code.
Mongoose is saving your time by mapping the JavaScript Data objects to the MongoDB database.
MongoDB and NodeJS Integration
I am developing a sails.js app. In my previous sails app, I used MySQL with the default waterline ORM. I am planning to use Mongodb in my new app. I have come across limitations with waterline, one of them being, querying an association. My current app is logically intense and deals with a lot of statistical data. Is it safe to continue with waterline or replace it with Mongoose?
Waterline is getting better and supports for many features that were missing lately. Since both have association support now, any of them would be fine for this task. Only advantage is Waterline is that if the project is based on Sails, using it would be much easier.
Waterline associations
There is an example on Github for a Mongoose ORM Hook that should facilitate the disabling of Waterline and other associated hooks and enabling Mongoose as the ORM to use in your apps.