Software development

Ultimate Guide MongoDB: Definition, Advantages & Disadvantages

In response to new kinds of data, graph database developers add nodes with new properties and arcs with new meanings. With key-value and column-oriented stores, new values and new columns can be added without disrupting the current structure. Document Oriented Storage − Data is stored in the form of JSON style documents.

  • Within minutes, you will be able to connect to your database using the provided connection string.
  • Traditionally, database management systems organize data based on the relational model.
  • Globally, companies of all sizes and in all industries use this database.
  • It supports horizontal scaling, which will result in distributing large data into several machines.
  • As there are no tables as such in a MongoDB NoSQL database, it is easy for developers to work with it.
  • Primary, Secondary, and Arbiter, are the three minimum servers required for the replica set.

One advantage that MongoDB’s replica sets have over other replication implementations in other database systems is Mongo’s automatic failover mechanism. In the event that the primary member becomes unavailable, an automated election process happens among the secondary nodes to choose a new primary. In MongoDB, a group of servers that maintain the same data set through replication are referred to as a replica set.

When other databases have failed, MongoDB comes up with unique capabilities to store and integrate big data seamlessly. The one-document database provides robust capabilities to store a large amount of diverse data in the most simplified way. Many programmers have the habit of bringing down the site or application for customizing data. With MongoDB, there is no need to bring the site down because the changes or customizations offered using MongoDB are impressive. Any time you need to change the schema, you will not have to lose valuable downtime. MongoDB allows users to add new data anytime, anywhere – without any disturbance in its operational processes.

If you’d like a thorough explanation of sharding, we encourage you to read our conceptual article on Understanding Database Sharding. A single node that holds part of a sharded cluster’s data set is known as a shard. Any computer-based database system depends on its underlying hardware to function and serve the needs of an application or client. If the machine on which it’s running fails for any reason, the data held within the database won’t be accessible until the machine is back up and running.

Understanding the Pros and Cons of MongoDB

To use relational databases, a data model must be designed and then the data is transformed and loaded into the database. NoSQL databases were created in response to the limitations of traditional relational database technology. When compared to relational databases, NoSQL databases are often more scalable and provide superior performance. In addition, the flexibility and ease of use of postgresql has many modern features including their data models can speed development in comparison to the relational model, especially in the cloud computing environment. MongoDB’s document model allows virtually any data structure to be modeled and manipulated easily. Database performance can vary widely depending on a number of factors — database design, application query patterns, and load on the database being just a few.

MongoDB Advantages

But it may be very useful in term to gain performance and scalability. Harness the potential of database sharding to distribute the database into several clusters. With database sharding, you will get an increased storage capacity and also quicken the query response rate.


MongoDB knows how to reach into documents when performing queries. The MongoDB Query Language supports powerful dynamic query on documents facilitating deep queries. Above all, the document database allows accessing complex data simply using one-line of JSON-like code. MongoDB NoSQL databases and relational databases differ in many ways. Not only is MongoDB easy-to-use, but it also supports excellent scaling options. Moreover, the performance capabilities of MongoDB are unbeatable compared to other databases.

MongoDB Advantages

If you want to learn more about how to use MongoDB, take a look at MongoDB University. MDBU offers a large collection of free courses that will teach you everything you need to know about MongoDB. With MongoDB Atlas, creating and setting up a MongoDB cluster is easier than ever. With just a few clicks in the intuitive UI, you can deploy a new forever-free instance.

MongoDB Charts, an easy-to-use interface to create stunning dashboards and visualizations. The Performance Advisor, which provides you with recommendations to optimize your database. This article will detail each of those points to show you how your business can benefit from MongoDB. Due to the dynamic schema, you can try new things at a lower cost. You don’t need to worry about preparing data before experimenting with it.

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It supports horizontal scaling, which will result in distributing large data into several machines. Due to it is the ability of a schema-less database, the code which we create defines the schema. Not only is it a free, open-source DBMS, but it also offers support for multiple languages.

To summarize, here we have shared a brief about What is MongoDB? MongoDB is a fast and reliable database that is one of the recommended databases in designing scalable web applications that required the storage of unstructured data. If you are designing https://globalcloudteam.com/ an application where you need high availability, clustering, fast performance, then you must consider using MongoDB as your application’s backend database. You can check out programming community-recommended best MongoDB tutorials here.

MongoDB Advantages

Since the data is structured horizontally, it becomes easy to spread it across different servers and access it in a simplified way. You can create clusters using real-time replications and shard high-volume data to sustain performance. This rigidity imposed by the relational model isn’t necessarily a bad thing. In fact, it makes relational databases quite useful for storing data that neatly conforms to a predefined structure. But it can become limiting in cases where you need to store unstructured data — data that doesn’t easily fit into predefined data models or isn’t easily searchable by conventional tools.

Handle large volumes of data at high speed with a scale-out architecture

MongoDB can be a cost effective solution because improves flexibility and reduces cost on hardware and storage. There are different installable versions available, based on the operating system you are using. To use MongoDB with .NET, let’s first start with installing and setting up the MongoDB server.

MongoDB Advantages

In the preceding class, “Id” is decorated with BsonType.ObjectId; in other words, the user needn’t pass any value to this field. MongoDB will use this field to assign an auto generated value and use this field as unique key. Due to the structuring (BSON format – key value pair) way of the data in MongoDB, no complex joins are needed. Webandcrafts is one of the leadingwebsite design company in India.

Easy horizontal scale-out

In our experience, the number one issue that many technical support teams fail to address with their users is indexing. Done right, indexes are intended to improve search speed and performance. A failure to properly define appropriate indexes can and usually will lead to a myriad of accessibility issues, such as problems with query execution and load balancing. Database triggers are a great way to perform audits, ensure data consistency and data integrity, and to perform complex event processing. Check out the dedicated Database Triggers article to learn more about the different types of triggers and how to use them. All client operations in a sharding environment are handled through a lightweight process called mongos.

One thing to remember is in MongoDB databases are namespaces; if studentDB doesn’t exist, it creates it. Sharding is the process of storing the data in different machines and MongoDB’s ability to process the data, as and when the size of the data grows. With sharding, more amount of data can be written and read back as and when there is an increase in the data growth. Yet one can use joins functionality by adding by coding it manually. The BSON format supports more data types for storage including Boolean, string, double, integer, object, finery data, JavaScript, array, and so on.

First and foremost, it is very easy to install and setup the MongoDB. You cannot perform the nesting of documents for more than 100 levels. With just a couple of clicks in the web UI, you can start coding and assigning clusters straight away.

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If needed, you can perform a left outer join with the $lookup aggregation pipeline stage, which delivers similar performance to RDBMSs. Relational databases may also be a better choice for applications that require very complex but rigid data structures and database schemas across a large number of tables. Using Structured Query Language databases, every time there is an attempt to insert information, declaration and confirmation of a table schema are necessary. MongoDB, being a document database, holds different documents in a single collection. Simply put, MongoDB allows the storage of multiple objects in a unified way, with a different set of fields.

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This is because it doesn’t rely on tables and rows like relational databases do. Instead, it’s object-focused, in the form of Collections and Documents. Easily Accessible– Another reason for using MongoDB is that it supports almost all the major programming languages C, C++, C#, Java, Node.js, Perl, PHP, Python, Ruby, Scala, and many more. Also, MongoDB has excellent community-supported drivers for low popular programming languages too. You can also host MongoDB on its cloud service, MongoDB Atlas, which offers both a community-driven open source and a premium Enterprise Edition. It can manage both organized and unstructured data in a variety of applications by integrating with other popular programming languages.


MongoDB has also caught the eyes of the open-source community and a lot of developers work on various open-source projects based on MongoDB. You can download MongoDB here and find MongoDB documentation here. The lack of a set relational structure means that submitting a query requires far less processing power to search and retrieve than with a relational database.

It provides scalability and flexibility for developers to easily use and learn the tool. Developer.com features tutorials, news, and how-tos focused on topics relevant to software engineers, web developers, programmers, and product managers of development teams. This includes coverage of software management systems and project management software – all aimed at helping to shorten the software development lifecycle . As MongoDB is a document-based database, developers can store data easily, whether it’s structured or not. The BSON format maps to native objects directly and doesn’t necessitate data normalization. Relational databases store data in structured tables that have a predefined schema.

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