Using MongoDB enables your team to go further and faster when developing software applications that handle data of all sorts in a scalable way.
MongoDB is an excellent choice if you need to: Support rapid iterative development. Enable collaboration of a large number of teams. Scale to high levels of read and write traffic. Scale your data repository to a massive size. Evolve the type of deployment as the business changes. Store, manage, and search data with text, geospatial, or time-series dimensions.
MongoDB as a company has grown because the number of use cases with these characteristics continues to grow.
What are the Advantages of MongoDB?
MongoDB has become one of the most wanted databases in the world because it makes it easy for developers to store, manage, and retrieve data when creating applications with most programming languages.
To understand whether MongoDB is right for you, let’s look at the advantages of MongoDB for developers. You can also check out the top five MongoDB features.
The Power of Document-Oriented Databases
MongoDB is the pioneer of what has come to be called NoSQL databases, which developed because RDBMS systems based on SQL did not support the scale or rapid development cycles needed for creating modern applications.
NoSQL is an umbrella term; it includes document-oriented databases like MongoDB, columnar databases, in-memory databases, and more.
In MongoDB, records are stored as documents in compressed BSON files. The documents can be retrieved directly in JSON format, which has many benefits:
- It is a natural form to store data.
- It is human-readable.
- Structured and unstructured information can be stored in the same document.
- You can nest JSON to store complex data objects.
- JSON has a flexible and dynamic schema, so adding fields or leaving a field out is not a problem.
- Documents map to objects in most popular programming languages.
Most developers find it easy to work with JSON because it is a simple and powerful way to describe and store data.
Perhaps most importantly, the developer controls the database schema. Developers adjust and reformat the database schema as the application evolves without the help of a database administrator. When needed, MongoDB can coordinate and control changes to the structure of documents using schema validation.
MongoDB created Binary JSON format (BSON) to support more data types than JSON. This new format allows for faster parsing of the data. Data stored in BSON can be searched and indexed, tremendously increasing performance. MongoDB supports a wide variety of indexing methods, including text, decimal, geospatial, and partial.
Developer User Experience
MongoDB has always devoted abundant time and energy to making sure developers have a great experience. Developers appreciate that MongoDB has made sure the database can be used from various programming languages, including C, C# and .NET, C++, Go, Java, JavaScript, PHP, Python, Ruby, Rust, Scala, and Swift.
As more and more business users have joined the MongoDB community, features have been added to support the use and operation of MongoDB in enterprise IT departments. MongoDB now also offers first-class support for customers who need it.
With MongoDB Atlas, the database-as-a-service at the center of the MongoDB Cloud, it is easier than ever to use MongoDB. You can provision a cluster with a few clicks from the web interface and start writing code almost immediately.
MongoDB Atlas allows developers to get started right away in any major public cloud and easily migrate on-premise MongoDB instances to the cloud.
Scalability and Transactionality
MongoDB’s scale-out architecture, which distributes work across many smaller (and cheaper) computers, means that you can create an application that will handle spikes in traffic as your business grows.
Engineering innovations by MongoDB support massive numbers of reads and writes. MongoDB’s approach to sharding is at the heart of these innovations, allowing clusters of information to be stored together as the information is spread across the cluster of computers. By comparison, most SQL databases use a scale-up architecture that is limited because it relies on creating faster and more powerful computers.
When modeling data in MongoDB, it is common to embed objects within each other. What used to take multiple transactions to update in traditional relational databases can sometimes be achieved in a single transaction with MongoDB.
If still needed, MongoDB also supports database transactions that allow many changes to a database to be grouped and either made or rejected in a batch.
Platform and Ecosystem Maturity
MongoDB has been around since 2007 and has been deployed at thousands of companies for a wide range of use cases. A natural result of that usage level is that the platform has been extended to meet a massive number of new demands. Most large organizations want to make sure it is easy to get help using any technology that becomes the foundation of their business.
MongoDB has a large and thriving community of developers across the open-source community, academia, and among system integrators and consulting firms across the globe.
