Full Stack Web Developer with MongoDB Salary in 2024

Where is MongoDB used?

High-Octane Analytics

• MongoDB fuels real-time data analysis like a caffeinated squirrel on a treadmill, enabling snappy business insights.

Scaling Everest in Sneakers

• Startups juggling growth spurts use MongoDB to scale up faster than a teenager outgrowing jeans.

The Matchmaking Cupid

• In the dating app arena, MongoDB plays matchmaker, efficiently sorting through love-seekers' profiles for that perfect rendezvous.

Gaming Worlds' Puppet Master

• For the gaming industry, MongoDB pulls the strings behind the scenes, handling complex player data like a digital Geppetto.

MongoDB Alternatives

Couchbase

Couchbase is a distributed NoSQL document database featuring easy scalability, consistent high performance, and flexible data models. Suited for interactive applications.

// Retrieving a document by key
bucket.get('user::1', function(err, result) {
  if (err) throw err;
  console.log('Got result: %j', result.value);
});

• Provides in-memory performance and persistence.


• Supports SQL-like query language (N1QL).


• Lesser known, steeper learning curve compared to others.

Cassandra

Apache Cassandra is a highly scalable, distributed, and decentralized NoSQL database, great for handling large amounts of data across many commodity servers.

// Insert into Cassandra
const query = 'INSERT INTO users (email, password) VALUES (?, ?)';
client.execute(query, ['user@example.com', 'password123'], { prepare: true });

• Exceptional scalability and fault tolerance.


• Offers tunable consistency.


• Complex configuration and maintenance.

PostgreSQL with JSONB

PostgreSQL is a powerful, open source relational database with JSONB support for storing and querying JSON-like data, providing the best of both relational and NoSQL worlds.

// Query using JSONB
SELECT * FROM users WHERE profile->>'age' = '29';

• Robust, feature-rich, and mature SQL database.


• JSONB datatype allows NoSQL-like operations.


• May perform slower with large JSONB data sets.

Quick Facts about MongoDB

Who Gave Birth to the MongoDB Baby?

Once upon a time in the cyber year of 2007, a group of ingenious minds at a company called 10gen (now MongoDB Inc.) played Frankenstein and brought to life a NoSQL database they named MongoDB. It was a far cry from the rigid tables of SQL—think of it as the cool kid who ditched the school uniform for pajamas. And just like that, databases had a new poster child for flexibility and speed.

The "Mmm, Bop" of Database Evolution: BSON

Let's talk about BSON, MongoDB's lifeblood. It sounds like a boy band hit from the '90s, but it's actually short for Binary JSON. Conjured up by MongoDB's creators, this data format allows for more than just the simple dish of JSON. It dishes out a plate loaded with rich data types like date and binary that JSON just can't stomach. BSON is the secret sauce that lets MongoDB gobble up data faster than you can say, "Pass the bytes, please."

This Ain't Your Grandpappy's Version Control

// Sample MongoDB query using one of the latest features:
db.superheroes.find({
  "alias": "The Masked Coder",
  "superpowers": { "$exists": true }
});

Hold on to your keyboards, folks! MongoDB isn't the kind that gathers dust in the attic. Since its inception, there have been more versions than there are Marvel movies. Okay, maybe not that many, but you catch my drift. Each update is like a new superhero suit, equipped with nifty gadgets and improvements that even Iron Man would envy. The best part? They roll out without a fuss, smoother than a hot knife through butter, keeping devs worldwide in a state of nerd nirvana.

What is the difference between Junior, Middle, Senior and Expert MongoDB developer?

Top 10 MongoDB Related Tech

1. 
   

   JavaScript – The Heartbeat of Mongo

   
   

   
   Imagine going on a treasure hunt without a map; that's coding MongoDB without JavaScript! It's the peanut butter to Mongo's jelly, intertwined tighter than headphone cords in a pocket. JavaScript is like the universal translator for MongoDB's BSON data format—the match made in geek heaven. You'll use it to issue commands, wrangle data, and cast spells in Node.js land. Plus, JavaScript's ubiquity means you’ll be playing with MongoDB like a LEGO master in no time.
   

   
                   // A snippet of JavaScript using MongoDB's Node.js driver
                   const MongoClient = require('mongodb').MongoClient;
                   const url = 'mongodb://localhost:27017';
                   
                   MongoClient.connect(url, function(err, db) {
                     if (err) throw err;
                     console.log("Database created by a JavaScript maestro!");
                     db.close();
                   });
               

   
   
   
   


2. 
   

   Node.js – Mongo's Sidekick

   
   

   
   Node.js and MongoDB are such a classic duo, they could star in their own buddy-cop movie. Node.js slides into MongoDB's DMs with its non-blocking, event-driven architecture, making it perfect for handling Mongo's asynchronous calls. Crafting RESTful APIs with the Express framework in Node.js is less hassle than untangling those aforementioned headphone cords! It's the go-to for building scalable apps that chat with MongoDB as if they're old college roommates.
   

   
                   // A snippet defining a simple Express route that interacts with Mongo
                   const express = require('express');
                   const MongoClient = require('mongodb').MongoClient;
                   const app = express();
                   const url = 'mongodb://localhost:27017';
                   
                   app.get('/data', (req, res) => {
                     MongoClient.connect(url, (err, db) => {
                       if (err) res.send('Oops! Node.js and Mongo had a little tiff!');
                       let dbo = db.db("mydatabase");
                       dbo.collection("users").findOne({}, (err, result) => {
                         if (err) throw err;
                         res.send(result);
                         db.close();
                       });
                     });
                   });
               

   
   
   
   


3. 
   

   Mongoose – The Shape-Shifter

   
   

   
   Unlike the pesky animal, this Mongoose is your ally in the MongoDB realm. It’s an Object Data Modeling (ODM) library that brings schemas to your schema-less paradise. Sounds like a party pooper? Nah, it adds structure to the unstructured, transforming wild JSON objects into predictable forms. Define models, validate data, and create relationships between collections—it's like having a tame pet mongoose that eagerly fetches your data-slippers.
   

   
                   // Mongoose model example
                   const mongoose = require('mongoose');
                   mongoose.connect('mongodb://localhost/mydatabase');
                   
                   const UserSchema = new mongoose.Schema({
                     name: String,
                     age: Number,
                     status: String
                   });
                   
                   const User = mongoose.model('User', UserSchema);
                   
                   const newUser = new User({
                     name: 'MongoMaster3000',
                     age: 28,
                     status: 'Feeding Mongo with data!'
                   });
                   
                   newUser.save().then(() => console.log('One mongoose, coming right up!'));
               

   
   
   
   


4. 
   

   Python – The Scientist of the Mix

   
   

   
   Python is the Swiss Army knife in a data scientist's pocket, always ready to aid in managing MongoDB. It's like that smarty-pants kid in class who knew all the answers but was cool enough to help you out. The PyMongo library lets Python and Mongo engage in heart-to-heart conversations, and together they whip up data analysis and machine learning recipes like a Michelin-star chef.
   

   
                   # A taste of Python using PyMongo to connect to MongoDB
                   from pymongo import MongoClient
                   
                   client = MongoClient('mongodb://localhost:27017/')
                   db = client['space_db']
                   
                   astronaut_data = {
                     'name': 'Buzz Aldata',
                     'missions': ['Apollo 11', 'Gemini 12']
                   }
                   
                   astronauts = db.astronauts
                   result = astronauts.insert_one(astronaut_data)
                   print('Python just sent Mongo to the moon!', result.inserted_id)
               

   
   
   
   


5. 
   

   Aggregation Framework – The Data Alchemist

   
   

   
   Need to turn your database into a goldmine of insights? MongoDB's Aggregation Framework is like a data alchemist, ready to transmute raw data into enlightened nuggets of wisdom. It chains together stages of data processing, funneling your documents through filters, transformers, and sorters. Think of it like building a Rube Goldberg machine, where the simple act of aggregating data begets complex results with minimal effort. Shazam!
   

   
   


6. 
   

   Redis – The Speedy Gonzales of Caching

   
   

   
   When MongoDB needs a turbo boost, Redis tags in as the Speedy Gonzales of caching. It’s that overly caffeinated friend who remembers everything instantly, providing lightning-fast data retrieval to complement Mongo's leisurely pace. Use Redis for session storage, pub/sub messaging, or just giving your app the equivalent of a double-shot espresso. A word of caution: Redis’s volatile memory is like a night out—it remembers the party but forgets the details if the power goes out.
   

   
   


7. 
   

   Docker – The Container Conductor

   
   

   
   Deploying MongoDB without Docker is like going on a road trip without a car. Sure, you could walk, but why? Docker packages your Mongo in neat containers, complete with all essentials, making deployment as smooth as a gravy train on biscuit wheels. Spinning up a MongoDB instance inside a Docker container is as easy as microwaving popcorn—just make sure you don't overdo it and end up with a kernel panic!
   

   
                   // A Docker command to pull and run a MongoDB container
                   docker run --name some-mongo -d mongo:tag
                   
                   // To connect with a Mongo shell
                   docker exec -it some-mongo bash
               

   
   
   
   


8. 
   

   RESTful APIs – The Peaceful Middlemen

   
   

   
   Representational State Transfer (REST) APIs serve as the peaceful middlemen, facilitating the flow of data from Mongo to the World Wide Web. Just like friendly neighborhood mail carriers, RESTful routes deliver JSON parcels back and forth without complaint. Sure, there's SOAP, GraphQL, and others, but REST is like the postman who knows every dog by name—a universal communicator that won't chew up your packages.
   

   
   


9. 
   

   Atlas – The World on Mongo’s Shoulders

   
   

   
   MongoDB Atlas is like having a Mongo butler in the cloud, automating the mundane tasks of database upkeep so you don't have to. It offers a fully-managed service, shuffling your databases onto a global stage with just a few clicks. Backups, scaling, and security are Atlas’ problem now, leaving you to sip margaritas on your data veranda without a care in the world.
   

   
   


10. 
    

    Elasticsearch – The Search-and-Rescue Dog

    
    

    
    Need to find a needle in your haystack of data? Elasticsearch scurries to the rescue, sniffing out text-based searches within MongoDB with the enthusiasm of a Labrador on a duck hunt. It digs through piles of text faster than a gopher in soft soil, indexing and searching text data for those elusive insights. Combine it with MongoDB for a dynamic duo that's ready to leap tall datasets in a single bound!