What is MongoDB | All You Need To Know

According to DB-Engines and Stack Overflow ranking, MongoDB has maintained its position among the 5 most popular database management systems for some years now. There is no doubt that it will continue to gain popularity among developers and other professionals. This also makes MongoDB skills among the hottest skills in the database management space and the MongoDB certification one that most professionals are either pursuing or considering to pursue. 

What is MongoDB?

MongoDB is an open-source, object-oriented database management tool that facilitates the storage of data in JSON-like format. This database management system is highly flexible and scalable, allowing enterprises to store their data in various forms. It supports ad-hoc querying making it more flexible in terms of functionality compared to traditional relational database systems which are characterized by the use of rows and tables. MongoDB is a NoSQL database system and an effective system for storing high-volume unstructured data. It is considered the best for big data and social networking applications. 

The popularity of MongoDB for back-end database management is not only evident in the fact that it ranks high in DB engines and Stack overflow industry surveys but also that it has been adopted by big IT names like IBM and Facebook. Additionally, since inception, Mongo DB has grown to become the ideal solution for mobile web and mobile gaming applications due to the flexibility it offers for storing inventories. Some of its attractive features include easily adapting to Metadata changes and flexible document storage. Consequently, it’s also a popular backend for X-as-a Service in businesses.

Key Features of MongoDB

MongoDB, a NoSQL database, was developed to overcome the challenges and limitations associated with the traditional relational database systems. MongoDB is packed with many impressive functionality features which is why it has gained widespread popularity.

Here are 7 outstanding features of MongoDB.

  • Replication. MongoDB functionality features master-slave replications. A master can perform both reads and writes operations while a slave can only perform reads. The slave keeps replications of data in the master. In the event that the master replica fails, the system automatically switches to a slave replica making it a master. This ensures that replicas are readily and highly available. 
  • Load balancing. MongoDB uses sharding to overcome scaling challenges. Through sharding technology, data is written across multiple servers, which distribute the written and read loads based on storage requirements. This ensures that a single server’s throughput capacity is not exceeded. Distribution facilitates an automatic load balancing and easy horizontal scaling making it a good management system for applications with large data sets or high throughput. 
  • Indexing. Mongo DB enables one to index any field in a document with primary and secondary indices to improve the performance of searches done on the database.
  • Support for Ad hoc queries. MongoDB allows users to perform searches based on a range of values including range, field, and regular expressions. You can set your queries to return results with specific fields within the documents.
  • Aggregation. The aggregation function in MongoDB enhances search performance. It groups values from different documents in a batch to perform a range of operations and then return a single result. MongoDB provides three ways of performing aggregation operations including through the aggregation pipeline, MapReduce function, and through single-purpose functions. 
  • Schema-less database. MongoDB is written in C++ which is schema-less making it more flexible than traditional database management systems. It allows you to insert and store data without type mapping i.e specifying the number/type of columns. 
  • Capped Collection. Capped collection means just that, a collection with a predefined limit in terms of the number and size of documents. This function is important where high-throughput operations are performed. It uses an insertion order to insert and retrieve documents. When a collection reaches its capacity, the oldest documents are automatically deleted to create room for new documents. 

Benefits of using MongoDB

MongoDB addresses one of the major weaknesses of the traditional databases, scalability. MongoDB does not only accommodate expanding data but also allows automated integrations. Here are some benefits of MongoDB.  

  • As a distributed data platform, Mongo DB can be run across geographically distributed servers thus delivering unmatched availability of data sets and easy scalability. MongoDB responds elastically based on the data volume, supporting the uninterrupted availability of data with no downtime.
  • MongoDB is based on a flexible schema-less NoSQL database that allows the storage of documents in JSON-like format in the RAM. This makes it fast and efficient when handling large volumes of data. 
  • The dynamic schema allows you as a developer to innovate at a much lower cost as it eliminates the hassle of data preparation during experimenting.
  • Allows for the presentation of objects in the language of your choice. This is because MongoDB drivers can convert the DB documents seamlessly to the native’s objectives of JavaScript, Java, Python, and other languages. This means that a developer can use his or her language of programming to develop natural data.
  • Its use of cloud technology makes it cost-effective due to its minimal requirement for hardware and storage. Equally, MongoDB saves big data that allows for faster query processing. Reliability is achieved through storing data across nodes in the cluster, ensuring that a failure in one point does not disrupt the entire database server.
  • MongoDB is fast and interactive. Organizations are increasingly preferring MongoDB as it accommodates changing business requirements. 

Why Take the MongoDB Course?

MongoDB has grown in popularity attracting big names like eBay, Google, Facebook, PayPal, Disney, and counting. It has enabled businesses to store, query, and manipulate large sets easily to draw insights for strategy and business growth. This makes MongoDB skills among the most in-demand tech skills. 

Training equips you with the necessary skills required to execute database projects effectively. The MongoDB course is not only ideal for database admins, architects, software developers, and software architects, it is also good for project managers and other professionals who oversee database related projects. 

Secondly, because it is open-source, MongoDB receives immense community support from code contributors to testers. This means that it will continue to grow to accommodate advancing technology and is therefore here to stay. 

Finally, pursuing the MongoDB course gives you an opportunity to grow your skills, enhance career growth, and interact with experts in the field. 

Is it the right time to consider pursuing MongoDB? Absolutely. 

Take a leap and join the vibrant MongoDB community by enrolling for the MongoDB course. There is a world of resources to take advantage of and complement your learning from credible online course providers to boot camps, conferences, fora, and webinars. 

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