Skip to content
Join the AI Skills Survey and share your thoughts Take the survey
HackerRank Launches Two New Products: SkillUp and Engage Read now
The 2024 Developer Skills Report is here! Read now
Technical Skills

What Is MongoDB? A Brief Look at Non-Relational Databases

Written By April Bohnert | September 14, 2023

Abstract, futuristic image generated by AI

The tech industry is in a constant state of evolution, driven by the increasing amounts of data generated daily and the need for systems that can scale effortlessly. These trends have fueled a growing demand for databases that are not only scalable but also flexible and performance-oriented. Enter MongoDB, a database solution that has risen to prominence by addressing these precise needs.

This article serves as a comprehensive guide to MongoDB, aiming to clarify its role in the modern tech landscape for hiring managers and tech professionals alike. You’ll gain insights into what MongoDB is, its key technical features, and why it has become a sought-after technology. Additionally, we’ll delve into the specific skills needed to master this tool and what the current hiring outlook is for professionals proficient in MongoDB.

What is MongoDB?

MongoDB is a NoSQL database. If you’re not familiar with the term “NoSQL,” it stands for “Not Only SQL.” Unlike traditional relational databases such as MySQL, PostgreSQL, or Oracle, which use SQL-powered tables to store data, MongoDB uses a document-oriented model. Each “document” is a self-contained unit of data with a unique identifier, resembling a JSON object.

The journey of MongoDB started back in 2007, and it was officially released in 2009. It was developed to tackle the limitations of existing databases, particularly when it came to horizontal scalability and the rigidity of their schema designs. These are challenges that are increasingly relevant as businesses grow and data models evolve.

Now, you might be thinking, “Why not just stick to good old SQL databases?” Well, here’s the deal: SQL databases are excellent for specific use cases. They have strong ACID (atomicity, consistency, isolation, durability) compliance and are generally great for applications where the schema is not going to change frequently.

But what if you’re dealing with a more dynamic data model? Or you need to store vast amounts of data that could grow exponentially? That’s where MongoDB shines. Its document-oriented model provides the flexibility to handle a wide range of data types and structures. Plus, its architecture is designed for horizontal scaling, meaning users can add more machines to their MongoDB cluster to handle increased loads.

Advantages of MongoDB

As technology continues to advance at breakneck speeds, businesses and developers need tools that can keep pace. MongoDB has carved its niche by addressing some of the primary pain points prevalent in traditional databases. Here’s why MongoDB has become an essential part of the developer’s toolkit:


MongoDB was built with scalability at its core. Its architecture allows for horizontal scaling, meaning that instead of beefing up a single server (vertical scaling), you can add more servers to the network as your application grows. This approach ensures performance remains consistent, even as the data volume surges.

Flexibility in Data Modeling

Say goodbye to the rigidity of table schemas. MongoDB’s document-oriented model allows you to store data in varied structures. Whether it’s user profiles with different attributes or product listings with distinct features, MongoDB can accommodate without forcing you to alter the entire schema.

High Performance 

MongoDB’s design, which includes built-in support for sharding and replication, ensures that read and write operations are speedy. Whether you’re building a real-time analytics tool or a high-frequency trading platform, MongoDB can handle it.

Document-Oriented Storage 

This feature allows for more natural and intuitive data representation, especially when dealing with hierarchical data relationships or arrays. Think of storing a blog post along with its comments, tags, and author information all in one place.

Schemaless Design

In fast-paced development environments, requirements change. MongoDB’s schemaless nature means you can adapt on the fly, adding new fields or changing data types without major disruptions.

Strong Consistency

Contrary to some misconceptions, MongoDB offers strong consistency, ensuring that after a write is acknowledged, subsequent reads will reflect that write.

From content management systems to IoT applications, MongoDB’s versatility makes it a go-to choice for various scenarios. E-commerce platforms, for instance, can benefit from MongoDB’s ability to store diverse product listings, while gaming applications can utilize its rapid read and write capabilities for real-time data access.

While traditional databases still hold their value and are suitable for many applications, the dynamic and evolving nature of modern applications calls for a database solution that offers flexibility, scalability, and performance. MongoDB rises to the challenge, making it a top contender in the data storage domain.

Key Features of MongoDB

While the benefits of MongoDB are evident in its usage across diverse applications, it’s essential to understand the technical features that power this database. These features not only give MongoDB its unique capabilities but also distinguish it from other databases. Let’s explore these in detail.

  • BSON (Binary JSON) Storage Format: At the heart of MongoDB is BSON, a binary representation of JSON-like documents. This format allows MongoDB to efficiently serialize and deserialize data, paving the way for speedy read and write operations.
  • Support for ACID Transactions: Even though MongoDB is a NoSQL database, it still supports ACID transactions. This means users can confidently perform multiple operations and trust that your database will remain consistent, no matter the outcome.
  • Horizontal Partitioning (Sharding): Sharding is a method of distributing data across multiple servers, ensuring that the database can scale out by partitioning data as demand increases. This not only ensures optimal load distribution but also aids in fault tolerance.
  • Built-in Replication: MongoDB supports server-to-server data replication, which safeguards your data against hardware failures and keeps your apps running during updates.
  • Capped Collections: An interesting feature, capped collections allow for fixed-size collections. When the specified size is reached, MongoDB automatically overwrites the oldest entries, making it useful for logging or caching scenarios where old data isn’t critical.
  • Geospatial Indexing: Building a location-based app? MongoDB supports geospatial data out of the box, allowing users to perform complex geospatial queries effortlessly.
  • Aggregation Pipeline: Going beyond simple queries, MongoDB offers a robust aggregation framework. It lets users transform and combine data in multiple stages, making it incredibly useful for tasks like data analytics.
  • Data Integrity Through Write Concern: MongoDB allows you to specify a write concern level for each operation. This determines how the database acknowledges write operations, ensuring data integrity based on the user’s specified level of assurance.
  • WiredTiger Storage Engine: Since version 3.2, MongoDB uses the WiredTiger storage engine by default. This engine supports data compression, which reduces storage costs, and multi-document ACID transactions, enhancing MongoDB’s versatility and efficiency.

These features combine to make MongoDB a robust and versatile database, tailored for the challenges and requirements of contemporary applications. Its design principles focus on flexibility, scalability, and performance, making it a formidable tool in the database realm.

Skills Needed to Master MongoDB

Like any powerful tool, MongoDB’s true potential is unlocked when wielded by individuals who’ve taken the time to understand and master it. For hiring managers and tech professionals, knowing which skills are crucial for MongoDB proficiency can be a game-changer. Here’s a breakdown of the essential competencies:

  • Understanding of JSON/BSON: Since MongoDB uses BSON for storage and JSON-like documents for its data representation, a solid grasp of these formats is foundational. Being comfortable with JSON structures and their binary counterpart, BSON, will ensure smooth interactions with MongoDB.
  • Data Modeling Techniques: Given MongoDB’s document-oriented nature, understanding how to design effective and efficient data models is paramount. This involves knowing when to normalize or denormalize data, how to use embedded documents, and how to design for scalability and performance.
  • Querying and Aggregation: Crafting effective queries to fetch or modify data is a core skill. Beyond basic CRUD operations, a MongoDB expert should be adept with its aggregation pipeline, allowing for data transformation and analysis directly within the database.
  • Indexing: MongoDB can store vast amounts of data. Efficiently retrieving specific documents from these massive datasets requires a deep understanding of indexing. Knowing which fields to index, how compound indexes work, and when to use text or geospatial indexes can make or break an application’s performance.
  • Performance Tuning: As with any database, understanding how to optimize MongoDB for performance is essential. This involves monitoring queries, understanding the database’s explain plan, and making necessary adjustments to ensure operations are snappy.
  • Understanding Sharding and Replication: Given that MongoDB’s forte is scalability, a nuanced understanding of its sharding and replication mechanisms is a must. This ensures that as an application grows, the database architecture can evolve seamlessly alongside it.

It’s worth noting that while mastering MongoDB requires a blend of these technical skills, it also demands a conceptual shift for those accustomed to relational databases. Embracing MongoDB’s flexibility and understanding its strengths (and limitations) will enable professionals to harness its capabilities fully. For those on the hiring end, seeking candidates with a mix of these skills can ensure your team is equipped to leverage MongoDB’s full potential in your projects.

Hiring Outlook for People with MongoDB Skills

The profound influence of MongoDB in the realm of databases can’t be overlooked, especially when observing hiring trends. As businesses and developers rapidly gravitate toward flexible and scalable data solutions, the allure for MongoDB expertise has grown exponentially.

Recent surveys suggest that MongoDB is among the top databases in terms of popularity and adoption rate. This wide-scale acceptance is inevitably mirrored in the job market and has even led to MongoDB partnering with online learning platforms like Coursera and LinkedIn to address the growing skills gap by getting more people certified through its MongoDB University

The tangible benefits of MongoDB, such as its ability to handle vast volumes of data and its inherent flexibility, make it an attractive choice for industries beyond the tech realm. Sectors like finance, healthcare, and e-commerce are steadily integrating MongoDB into their IT infrastructures, amplifying the demand for this skill. This translates to a wide diversity of roles. MongoDB specialists aren’t just confined to roles like database administrators; there’s a growing demand for back-end developers, data architects, and full-stack developers with MongoDB prowess.

A notable indicator of this demand surge is the competitive compensation packages offered to MongoDB experts, with MongoDB developers earning an average of $129,846 per year. While experience remains a crucial factor, certifications related to MongoDB are also emerging as differentiators in the hiring process, acting as validations of one’s competency in the platform.

Key Takeaways

MongoDB has emerged as a database solution that embodies flexibility, scalability, and efficiency. As organizations lean into the future, databases that can adapt, grow, and perform at scale are not just preferable—they’re essential. MongoDB clearly fits that bill.

For tech professionals, this presents a two-fold opportunity: to ride the MongoDB wave, honing skills that are increasingly in demand, and to position themselves at the forefront of the next generation of database management. Meanwhile, for hiring managers and organizations, understanding MongoDB’s capabilities and the market for its specialists is crucial. It’s not just about staying updated; it’s about staying ahead.

As the database continues to solidify its prominence, one thing’s for sure—the MongoDB journey is just beginning, and it’s one worth embarking on.

This article was written with the help of AI. Can you tell which parts?

Abstract, futuristic image generated by AI

What Is a Database Management System? A Brief Guide