The MongoDB is a non-relational document database that is getting to support for JSON like storage space. It contains the flexible data model that makes deal to store unstructured data. So, here we will reveal all possible stuff about what is MongoDB with its features, use, and application; involving with many examples of MongoDB database system with ease. This is unique article over the internet; so, i make ensure that after reading this post; you will definitely fully aware about what is MongoDB database system without getting any hindrance.
What is MongoDB?
MongoDB is an open-source, cross-platform, and document-based NoSQL database that is used for the vast amount of data storage. MongoDB allows user to keep store records without hassle about the data structure like as number of field or types of store values. MongoDB is getting to support with all most eminent programming language such as C, C++, C#, .Net, Go, Java, Node.js, Perl, PHP, Python, Motor, Ruby, Scala, Swift, and Mongoid. Therefore, you are capable to make a application by helping of these language.
MongoDB was introduced by a Newyork based company named 10gen that is now known as MongoDB Inc. But, it was initially designed as a PAAS (Platform as a Service). Further in 2009, it is released in the market as an open source database server that was maintained and supported by MongoDB Inc. So, now these days, most of companies are going to use MongoDB system such as eBay, Adobe, Google, Facebook, Nokia, Twitter, etc. to keep store their huge amount of data
MongoDB Tutorial Headlines:
In this section, we will show you all headlines about this entire article; you can check them as your choice; below shown all:
- What is MongoDB?
- Why You Should Use MongoDB?
- Features of MongoDB
- Use Cases of MongoDB
- Applications of MongoDB
- Examples of MongoDB
- Who is Using MongoDB?
- How Does MongoDB Work?
- FAQs (Frequently Asked Questions)
- What is MongoDB as a database?
- What is difference between SQL and MongoDB?
- Why MongoDB is better than SQL?
- Which language is used in MongoDB?
- What type of database is MongoDB?
- What is MongoDB best used for?
- When should we not use MongoDB?
- What are the key features of MongoDB’s latest version?
- Where do we use MongoDB in real life?
- What are the real time applications of MongoDB?
- What are the real world examples of MongoDB?
Let’s Get Started!!
Why You Should Use MongoDB?
Cause of some major reasons, MongoDB is going to deploy more often; as following them:
Good Flexibility: MongoDB system is getting to use the document that is capable to get sub-documents the complex hierarchies making it expressive and flexible. The MongoDB is also able to map objects from any programming language that makes ensure easily to implement and maintenance.
Native aggregation lets users to make the extraction and transform data from the database. Then, the data is able either loaded into a new format otherwise exported to the other data sources.
The applications have the responsibility and power for interpreting the different properties that is found in a collection’s documents.
Flexible Query Model:
The user has ability to selectively index some portion of every document otherwise a query based on the frequently expressions, attributes values, ranges, and other many properties per objects as required by the application layer
Features of MongoDB
In this section, we will guide you about all amazing features of MongoDB database system in detail; below shown each one; you can read them:
Lack of the Schema:
MongoDB has one collection that is contained the different types of documents, then it is getting a lacks a schema. Hence it is able to employ the various different kinds of fields, contents, and size as compare to other documents at the same collection. Cause of this, MongoDB keeps to manage the databases being with flexibility.
MongoDB keeps store mostly data into RAM, then it allows a quicker performance when you are executing the queries. It is getting to collect the data directly from RAM to hard disk and moves come back fastest. It is most significant to have a system along with RAM and accurate indexes for increasing the performance level.
Excellent Developer UX:
MongoDB Atlas is available at the cloud, so it is getting to become simplest. Just making few clicks in the web user interface, users are capable to begin the coding and assigning the clusters pretty simple. MongoDB has few other abilities are:
- It allows the full text search.
- It also allows the 100% controlled server-side services for the creating apps.
- It makes to enable query and merge of data along with that kept in any HTTP store.
MongoDB serves the many flexible concepts, when you are using a cloud based MongoDB Atlas, then you are able to select the instance size that is most convinced your requirements. Users have also right to adjust your cluster to automatically scale as per your need. Then, you can keep your cost at a minimum; while still having the flexibility to manage the sudden traffic bursts.
Users are capable to keep store a vast volume of data by helping the distributing, then it is connected with many servers to the applications. When, any server is unable to manage the big data then there will not getting any failure issue? This process is also called the ‘auto-sharding’.
Cause of its document-oriented concept, MongoDB serves the higher speed as compare to other traditional relational database. MongoDB also makes deal with reliable use of cache and RAM; therefore, it allows for fastest retrieval. Hence, it allows to enhanced speed and performance to your programs; thus you have to need a system along with decent RAM.
MongoDB has amazing feature such as replication and gridFS, and this feature allows to help enhance the data availability in the MongoDB.
The MongoDB is in the class of ‘Document Stores’; where to represent the document as the data collection. MongoDB provides the perfect documentation that means it doesn’t tether along with data while it getting to process it for the storage space. It offers the data for every version, edition, and otherwise requirements to help users along with better documentation process.
Scalability & Transactionality:
Due to its better scalability, you are capable to design applications that are supported with managing the traffic spikes efficiently. That means, this work is distributed over the multiple computer systems that are smaller in size and less expensive. MongoDB is also capable to support vast amount of read and write operations.
The objects can be embedded along with in one another during the data modelling in the MongoDB system. Apart of multiple transactions as in the conventional relational database and updating can be done here along with only one transaction. The database transactions make enable with many changes to the database to be merged, and either carried out otherwise rejected in one batch, are also supported in the MongoDB.
MongoDB gets to employ for redundancy by using the replication method, then data is distributed over the multiple machines through this function. It has the possibility for it that have to primary nodes and multiple set. The replication significantly prepares to the unexpected events. Then, secondary nodes get over as the primary node for the instance, if primary node is unavailable for few reasons.
The MongoDB is getting the aggregation that is used a framework with efficiently. When, many actions are carried out on the group of a data, and then we are capable to batch process data and achieve the single output. There are three types of aggregate framework like as aggregation pipeline, the map-reduce function, and single purpose aggregation techniques.
Ad-hoc Query Support:
An ad-hoc query means the non-standard inquiry that allows to generate to gain information if and when needed. Then, MongoDB provides the enhanced ad-hoc queries feature. It lets an application to prepare the fore coming queries that many happen in the future.
MongoDB provides the higher speed performance along with the right indexes. If, any indexing is utilized incorrectly otherwise has any discrepancies, then MongoDB will be getting to perform at very less speed. But, it consumes more time to solve these errors in the indexes.
Easy Environment and Quick Set-up Process:
The process of the storing and retrieving files is known as the GridFS. This service is most useful for files, those have size more than 16 MB. GridFS allows to split a document into many small units, then every unit is stored into a individual document. Apart of last segment, every unit of them consist the default size as 255 kb. If we try to ask GridFS for a file, then it places all the units together as necessary.
The MongoDB provides the pretty simple query syntax that is much easiest to grasp as compare to SQL. It also offers the expressive query language that users find out the helpful during the development.
Better Platform and Ecosystem Maturity:
The MongoDB was released in 2007; today, thousands of applications use it database for getting many purpose. Therefore, this system has been modified to make ensure that emerging demands can be completed. Large scaled companies are especially certain about going to help, when it is required for the technology on which their online businesses are depended.
If you’re used to having to bring down your site or application in the respect of changing the structure of your data, you’re in luck: MongoDB is designed for change. Apart of SQL database, you have to need determine and declare the schema of table before inserting the data. But, MongoDB collection doesn’t need your document to have the similar schema. That means, it is not getting to downtime to change schema, you are able to write new one data along with different structure at any time duration without getting any interruption your operations.
Full Technical Support:
The MongoDB provides the completely professional technical support to its clients for many services that it offers. This technical support is for the community forums, Atlas or Cloud Manager as well as Enterprise or Ops Manager. If you get any issue then experts are always ready for you to get touch you.
Use Cases of MongoDB
Here, we are going to explore most commonly real-word MongoDB use cases; as following them:
Product’s catalogs sometimes are going to feel like as a new one digital experience, because the richness and huge amount of data feed product catalog’s making to interaction today are most remarkable. Therefore, MongoDB is most convinced for these applications that serve a better tool for the keeping store different kinds of objects. As well as, its Dynamic Schema Capability also makes ensure that product documents only specific attributes relevant that product.
Scaling and Application Mobility:
MongoDb is getting more popularity in the mobile application development that is expected that the organizations make deal with different data structure from many sources and potentially higher dynamic growth. Hence, MongoDB offers the higher flexibility and scalability that provides the better database solution for these challenges. As well as, it also lets developers to get focus for making the better customer experience, beyond of the spending time adjusting the database.
Making the exceptional customer experience is most essential to get stay with relevant in the market and competing the healthy along with the competition. Thus, it allows to enhance the people’s expectations along with the good customer experience that should look like over the past some years.
Most of companies are always ready to go out of their way to get and exceed their customer’s expectations. Data aggregation lets several companies to make the exceptional customer experience, because they are capable to gather the vast volume of data of their potential and existing customers; as well as adding it along with the publicly available data. Hence, MongoDB is better solution of data aggregation and building analytical tool for making the exceptional customer experience.
Product Data Management:
MongoDB system is best solution for the product data management; because it is enabled with product data and related information that helps to keep manage and process into a one central system. It also lets for increased productivity, detailed cost analysis, and enhanced collaboration.
Another use case of MongoDB in the real-life is operational intelligent that helps to aid into real-time decision making. This also allows organizations to collect lot of data fees representing their on-going business operations and information of related other factors. They are capable to analyse these feeds as the data reaches for the making blueprint the profitable and functional business strategies.
Apart of higher operational cost and new database dominating the market, then Mainframe keeps to remain essential in the infrastructure. Cause of moving data off the Mainframe is a challenging task. Thus, MongoDB is most sufficient for offloading data from the mainframe system at the decreased operational price.
Real-Time Data Integration:
Most of organizations have vast volume of data distributed across their companies. So, these data are most valuable when aggregated into a single view. Therefore, MongoDB system offers the highly flexibility and query abilities that allows to make aggregation and organizing data more efficient.
Applications of MongoDB
MongoDB database system is going to use into various areas as the MongoDB applications to achieve the specific targets; as follow them:
MongoDB is widely going to use across several web applications like as the primary data store. The most eminent web development stacks; MEAN stack employs the MongoDB as the data store. MEAN stands for MongoDB, ExpressJS, AngularJS, and NodeJS.
In the most of e-commerce webmaster and product data management solutions, MongoDB database is most convinced option to keep store information. This is because; it contains the flexible schema that is most comfortable for this task. They are also able to determine the pattern to control the interaction in between the user’s shopping carts and inventory by using the Inventory Management.
MongoDB also offers the capability to keep manage the big data. Big Data represents the vast data that is fast changing that can be instantly accessed and higher available for getting to address requires sufficiently. Hence, it can make deal in applications where Big Data is required.
Demographic and Biometric Data:
MongoDB is also one the biggest bio-metrics databases in the world that is going to use store a huge volume of demographic and bio-metric data. For example: MongoDB is used to keep manage data vast amount of demographic and bio-metric data of more than 1.2 billion Indians into Aadhar.
MongoDB is also capable to keep handle complicated stuffs that need synchronization along with each other entirely. Therefore, mostly it is getting to use in the gaming applications. For example: EA , it is an most popular in among of world gaming studio that is using the MongoDB database for its game known as FIFA Online 3.
Examples of MongoDB
In this section, we will cover all possible examples of MongoDB system in detail, where is going to use MongoDB; below shown mentioned each one; you can check them:
Alight Solutions offers the human capital services that is most successful in offloading their data from the Mainframe to MongoDB. Hence, It helps to improve the application, which are performed by 250* and decreasing the overall cost of operations.
Aadhar is a brilliant example of reel world of MongoDB database system. Aadhar is the India’s unique identification project and the world’s most extensive bio-metric database system. This program is started in 2009 has gathered demographic and bio-metric information from over 1.3 billion people. So, Aadhaar believed on MongoDB, among the other database system such as HBase, MySQL, and Hadoop to keep store huge volume of data. This, MongoDB was one of the database systems that first bought to power the search strategy.
Shutterfly is a most eminent internet based photo sharing and personal stuffs publishing organization that keeps to manage the store the more than 6 billion pictures along with transaction rate up to 10,000 operations per second. This is the one of them organizations that offering the transition from Oracle to MongoDB.
Shutterfy can be considered a wide variety of alternate database system that makes deal with Cassandra, CouchDB and BerkeleyDB; before going to settling on the MongoDB. This company has installed the MongoDB for metadata associated along with uploaded photo; while for those parts of the application that need high richer transactional model such as billing and account management.
MetLife is a market leader to employee insurance, pensions, and other benefits plans. They are serving over the more than 90 million clients across the world. MetLife has sophisticated customer service solution that ‘The Wall’ is built on the MongoDB.
The Wall is amazing tool that provides the consolidated view of MetLife customers’ payments, policy statements, as well as other details. It is doing work as Wall of Facebook that collects data from 70 historical systems and makes the integration into a database table. This Wall is capable to keep 24TB and is distributed across 6 other different types of servers in two Data Management Centers. But now, MetLife is going to look further improve its service along with many Big Data initiatives, with enabling MongoDB based applications.
Chicago’s Department of Innovation and Technology (DoIT) is also implemented the MongoDB for analytics to cut the crime and citizen welfare by helping an analytics platform known as WindyGrid. To collect data from different sources, 911 calla and Tweets are analyzed by using the MongoDB to excellent respond to emergencies. WindyGrid application also allows to keep better manage the city traffic to garbage complaints.
Most of retail businesses have to require the real-time analytics, so their applications get to remain the relevant and always presence online without getting any interruption. Then, it makes deal to slow response time with a lot of revenue loss in this industry, cause of cutthroat competition. Otto is a biggest e-commerce company along with huge user base looking to meet and exceed its customer’s needs.
So, Otto is used the MongoDB use case with lower their response time in between 1-2 seconds. They are also capable to rebuild their entire catalog application. They are getting to use because of its reliability, growth characteristics, and customization schema abilities.
Most popular gaming companies like FACEIT and SEGA have efficiently used the MongoDB to enhance their consumers’ interaction experience. Therefore, FACEIT believes on then MongoDB as its primary database system. As well as, MongoDB also allows to keep handle the orchestration of services in between the gamer, contests, and groups.
Even, FACEIT implements the MongoDB to keep maintain its User Profile an Tournament Data. User’s live streaming data is getting to save into MongoDB, and other metrics are going to use for measuring the players’ activity and make interaction. With the help of MongoDB’s Flexible Structure and Extensive Query Model; FACEIT is capable to keep user profiles more sufficiently.
eBay is an American multinational internet consumer-to-consumer corporation; and its headquartered is placed in the San Jose. eBay contains the large number of projects that are running on the MongoDB for searching suggestions, metadatastorge, merchandizing categorization, and cloud management
Bosch is making a lead with the charge for IoT betting on the MongoDB for developing their applications. Bosch has more than 3 lack employees; and it is called as the one of largest automotive component manufactures. Bosch utilizes the many applications to gather data from IoT like braking system an power steering to enhance the diagnostics and avoiding the maintenance needs. It can also monitor the how operator use the higher advanced power tools to tighten more than six million screw of aircraft. MongoDB is playing the major role for developing such advanced applications
The Weather Channel was running their website, weather.com; then Weather Channel was facing more difficulties with huge clients because it was used the standard RDBMS system. MongoDB is enabled them to designed their smartphone apps that serve over 40 million active users and offers the Real-time Meteorological Data to its clients.
Therefore, Weather Channel is also going to use the MongoDB flexible schema and MapReduce features to do live analytics and forecast based weather data obtained. The prototype edition that had last taken weeks to design was delivered with in only a few hours; then it provided the Weather channel an edge over the competition.
When a story goes viral, then people tries to visit whatever websites. Thus, they are capable to get this information. So, it is most essential for the publishers and to retain the reader for proving the shareable content as quickly as possible.
MongoDB allows to Forbes for buliding its CMS within two months and its mobile application with in one month. Forbes has been changed its whole website and toward to MongoDB, then this content can be easily added from anywhere around the world without going the offline in a quickly. Cause of flexible schema of MongoDB; it offered the dynamic quality content quickly to their readers.
Who is Using MongoDB?
Most of IT companies are going to use the MongoDB as a database service for the applications or data starage systems. As per the survey, there are about 4500+ companies confirmed that are using the MongoDB as database, few of them are:
- Castlight Health
- BrightRoll and more
How Does MongoDB Work?
As you known very well that, MongoDB is a special database server that allows to keep store data in its databases. Cause of its NoSQL database, all data is stored in the collection and document. Thus, the database collection and documents are making relation with each other, as following them:
- MongoDB database has the collection just like as MYSQL database consists tables. Then, users are capable to make various databases and collections as well.
- Internally the collection, the document are existed that contain the data we wish to keep store in the MongoDB database. One collection is also able to contain the multiple documents.
- With the help of fields, the documents can be created that key value are presented into documents. It is just look wise as columns into relational database. The fields’ value can be of any BSON data types such as strings, double, Boolean, and so on.
- The MongoDB also lets users to keep store the nested data that allows making the complex relations in between the data and storing them in the similar document, which helps to work and fetching of data extremely sufficiently than SQL. In the SQL, uses have to need to write complex joins to get the data from table 1 and table 2. But, BSON document’ size has limited with 16MB.
- The all data is stored in the MongoDB as the format of BSON documents, The BSON stands for the Binary representation of JSON documents. The MongoDB server helps to convert the JSON data into the binary form that is called the BSON and it is going to keep store and queried with more sufficiently.
FAQs (Frequently Asked Questions)
What is MongoDB as a database?
The MongoDB is a non-relational document database that is getting to support for JSON like storage space. It contains the flexible data model that makes deal to store unstructured data; as well as offers the full indexing support and replication.
What is difference between SQL and MongoDB?
SQL database is used to keep store the structured data format, but MonogDB is going to use to save data as unstructured model in JSON format. MongoDB is not capable to support advanced analytics and joins features.
Why MongoDB is better than SQL?
MongoDB is more scalable and faster, as well as more secured as compare to SQL database.
Which language is used in MongoDB?
MQL (MongoDB Query Language) is used by developers for designing the MongoDB database.
What type of database is MongoDB?
There are four different kinds of database that is used into the MongoDB like as: Key-value stores, Wide-column stores, Document databases, and Graph databases.
What is MongoDB best used for?
The MongoDB is able to work with unstructured data, hence it is most convinced for Big Data systems, MapReduce applications, news site forums, and social networking applications.
When should we not use MongoDB?
One of the main drawback of MongoDB is that is not getting to support the transactions and dynamic operations.
What are the key features of MongoDB’s latest version?
MongoDB has few unique features like as:
- Document Model
- Database Triggers
- Ad-Hoc Queries
Where do we use MongoDB in real life?
Mostly, MongoDB is going to use for keeping store the product information and details by finance and e-commerce organizations
What are the real time applications of MongoDB?
MongoDB database system is going to use into various areas as the MongoDB applications to achieve the specific targets such as Web Applications, E-commerce, Big Data, Demographic and Biometric Data, and Synchronization.
What are the real world examples of MongoDB?
In this article, already we have been explained many examples of MongoDB system in detail, you can check them.
Now, i can hope that you have been fully educated about what is MongoDB with its features, use, and application; involving with many examples of MongoDB database system with ease. If this post is helpful for you, then please share it along with your friends, family members or relatives over social media platforms like as Facebook, Instagram, Linked In, Twitter, and more.
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