- MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time
- The document model maps to the objects in your application code, making data easy to work with
- Ad hoc queries, indexing, and real time aggregation provide powerful ways to access and analyze your data
- MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use
- High availability through built-in replication and failover
- Horizontal scalability with native sharding
- End-to-end security
- Native document validation and schema exploration with Compass
- Always available global support
- Management tooling for automation, monitoring, and backup
- Fully elastic database as a service with built-in best practices
We know that MongoDB is a schema-less database. That means we can have any type of data in a separate document. This thing gives us flexibility and a freedom to store data of different types.
MongoDB is a document-oriented database. It is easy to access documents by indexing. Hence, it provides fast query response. The speed of MongoDB is 100 times faster than the relational database.
MongoDB has features like replication and gridFS. These features help to increase data availability in MongoDB. Hence the performance is very high.
A great advantage of MongoDB is that it is a horizontally scalable database. When you have to handle a large data, you can distribute it to several machines.
Ad-hoc Query Support
- MongoDB has a very advanced feature for ad hoc queries. This is why we don’t need to worry about fore coming queries coming in the future.
- Easy Environment Setup
Full Technical Support
- MongoDB Inc. provides professional support to its clients. If there is any problem, you can directly reacha MongoDB client support system.
- Disadvantages Of MongoDB
- Nothing is fully complete or perfect. In spite of having so many advantages, MongoDB to has some limitations. Let’s discuss some of them here.
- Joins not Supported
- MongoDB doesn’t support joins like a relational database. Yet one can use joins functionality by adding by coding it manually. But it may slow execution and affect performance.
High Memory Usage
- MongoDB stores key names for each value pairs. Also, due to no functionality of joins, there is data redundancy. This results in increasing unnecessary usage of memory.
- Limited Data Size
- You can have document size, not more than 16MB.
- Limited Nesting
- You cannot perform nesting of documents for more than 100 levels.
- This was all about Advantages Of MongoDB Tutorial. Hope you like our explanation.