MongoDB is a general-purpose database that was launched in 2009, an open-source, 100% scale-out, document-oriented database that supports dynamic schemas and has rich support for NoSQL features.
Currently, the following are the 3 flavors of MongoDB:
- open-source software supported by a community of users.
- the enterprise edition.
- Atlas: DBaaS cloud offering by MongoDB.
The following are the benefits of the document data model:
To persist the data developers are always looking for ways to make their lives easier, and by replacing the rigid tables of relational databases with flexible documents MongoDB is their best friend because it maps to the way developers think and code. This enables developers to be far more productive and build or iterate upon their applications faster because of the following reasons:
- stores and manipulates documents, making it easy to store, manage, and analyze data.
- add new fields without affecting other documents in the collection.
- can model data in any way that suits the application
Flexibility: No Fixed Schema required
It provides the ability to adapt the change dynamically, as it retains the best aspects of relational and NoSQL databases while providing a technology foundation that enables organizations to meet the demands of modern applications to:
- the key-value pairs,
- the time-series data,
- geospatial data,
- the edges or nodes of a graph,
- the nested structures that represent relationships.
On top of that MongoDB also offers schema validation so you can enforce rules governing the structure of your documents.
JSON: Support the most widely used format
MongoDB stores data as JSON documents in a binary representation called BSON (Binary JSON) and this feature is a game changer for developers who use JSON to communicate with their databases. It will allow you to store and retrieve your data from MongoDB in a way that will be readable, editable, and easy to access by other apps and tools. Unlike most databases that store JSON data as primitive strings and numbers, the BSON encoding extends the JSON representation to include additional types such as int, long, date, floating point, and decimal128. This makes it much easier for applications using MongoDB to reliably process, sort, and compare data.
Architecture: Distributed Setup
While we design the database architecture we have to ensure that it should be scalable, resilient, and mission-critical.
Resilient: Replica sets are predominantly designed for resilience. If a primary node suffers an outage or is taken down for maintenance, the MongoDB cluster will automatically elect a replacement in a few seconds.
Scalable: You can scale your database horizontally with no downtime by leveraging Sharding, and vertically with only minimal downtime.
Mission-Critical: It's mission-critical because it's built to be fast, robust, and reliable for mission-critical systems.
Event-Driven: React to changes
MongoDB also has an event-driven architecture, which means that when something happens in the database (like a user adding/updating/deleting a document), all clients connected to it will receive a message about the change immediately in real-time.
Its feature called Change Streams: automatically detects and notifies consuming applications of any data modifications in the database.
Also If you are using MongoDB in your organization let's talk and discuss the strategies for cost optimization, and performance optimization.
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