Mongo Database Industrial Usecases
MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. MongoDB is a general-purpose, document-based, distributed database built for modern application developers and for the cloud era. MongoDB is written in C++.
Origin of Mongo DB
10gen software company began developing MongoDB in 2007 as a component of a planned platform as a service product. In 2009, the company shifted to an open-source development model, with the company offering commercial support and other services.
In 2013, 10gen changed its name to MongoDB Inc.
On October 20, 2017, MongoDB became a publicly-traded company, listed on NASDAQ as MDB with an IPO price of $24 per share.
On October 30, 2019, MongoDB teamed up with Alibaba Cloud, which will offer its customers a MongoDB-as-a-service solution.
Mongo DB: As we discussed, the Mongo database is a type of NoSQL Database. The way the data is stored in MongoDB is not in rows and columns but in key-value pairs using JSON.
So, along with providing the features that SQL does, it provides features more than that classifying it to be called a NoSQL (Not Only SQL).
The tables stored in the MongoDB database are called Collections and the records entered in MongoDB are thus known as documents hence making it Document Oriented Database.
Schemaless is a feature of Mongo DB
As stated earlier, the way data is stored in MongoDB is not the same as in relational databases. MongoDB works on a schemaless database where the raw data taken in is in the JSON format as shown below.
{
name : "Anith", age : 30, gender : "male" , interests : "cooking" }{
name : "Samith", age : 20, job : "Data Analist"
}
With JSON-style documents can have varying sets of fields with different data types for each field. In the schemaless database, the system namespace contains an explicit list of collections and indexes where collections may be implicitly or explicitly created and indexes must be explicitly declared.
Let us see more features of Mongo DB
- GridFS: This feature will allow the files to divide into smaller parts and store them in different documents without complicating the stack.
- Auto-sharding: The data is being distributed among several physical partitions known as shards. MongoDB has an in-built feature called automatic load balancing.
- Document-oriented Storage: It uses BSON format which is similar to JSON
- Replication: MongoDB possesses Master-Slave replication. It uses a native application to prevent database downtime by maintaining multiple copies of data.
- Schema-less Database: MongoDB is a schema-less database programmed in C++ language.
- Index Support: All fields in the document are indexed.
- Failure Handling: In MongoDB, works effectively in case of failures such as multiple machine failures, and data center failures by protecting data and making it available.
- Queries support: MongoDB supports ad-hoc and document-based queries.
- Multiple Servers: Duplicate data that is stored in the database is run over multiple servers to avoid the damage caused due to hardware failure.
- MapReduce: It is a flexible aggregation tool that supports the MapReduce function.
- Procedures: MongoDB JavaScript works better than procedures as databases use the language more than procedures.
Where to apply Mongo Database?
- High availability through built-in replication and failover
- Scalability with native sharding
- End-to-end security
- Native document validation and schema exploration with Compass
- Management tooling for automation, monitoring, and backup
- Fully elastic database as a service with built-in best practices
Industrial Applications of Mongo DB
MongoDB’s users include a huge list of customers from an estimated 3000 companies. Some of the main customers include:
- Forbes
- Toyota
- Sanoma
- ThermoFisher Scientific
- SAP
- Adobe
- eBay
- AstraZeneca
- Verizon
Let us see how Toyota is been benefitted from using NoSQL
We all know the Toyota name as a manufacturer of cars but it has a broader and richer history than just that. Toyota Material handling is building both the machines and the data platforms, which will make this historic shift in manufacturing success. Toyota is famous for the quality of its vehicles. Now that same standard is being applied to how its development teams create Internet of Things software that will enable the move to smart, autonomous, and safer factories of the future.
Now Toyota Materials handlings are creating smarter factories by moving to MongoDB. With big data collected from vehicles and analyzed on a cloud platform, TCNA humanizes the driving experience by freeing customers from the tyranny of technology via secure, seamless, and contextual services, elevating the customer experience while benefiting dealers, distributors, and partners. In August 2019, it launched its homegrown Telematics Services Platform (TSP) which leverages a special piece of hardware available in select new Toyota and Lexus vehicles to enable safety and convenience services such as collision detection, roadside assistance, destination assist, and stolen vehicle support. MongoDB has reduced TCNA’s annual costs by 20% and given its developers time back so they keep up with evolving consumer expectations and continue to innovate.
Why did Toyota choose MongoDB?
Toyota Material Handling had eight evaluation criteria that were used to decide on which database platform they would use to make the switch:
- Performance — latency, scalable reads and writes to meet customer SLAs and accommodate significant growth in the future
- Automatic scalability, operations, and maintenance that enable developers to focus on applications, rather than backend database administration
- Security and compliance to safeguard highly sensitive business and personal data
- Data locality — able to host in Northwest Europe or West Europe in Microsoft Azure, therefore, ensuring close geographic proximity to factories for latency-sensitive operations
- Automatic backups and restore to provide fully-managed data protection and disaster recovery
- Cloud agnostic, giving customers the freedom to run anywhere, on any platform
- Developer friendly database with a flexible data model so that developers can continuously integrate new application functionality and stay ahead of market demands
- Ecosystem for developer productivity, using proven best practices and widely available skills
Financial Services:
With the help of data as a service, MongoDB provides agility to the work. It provides a single view feature by aggregation of multiple data into a single repository which provides a firmwide view of asset and counterparty exposure or a single view of your customer for fraud detection and Knows Your Customer (KYC) requirements. It helps in real-time data analysis with a faster response time.
Payments:
Consumers today expect quick, seamless payment transactions without any mistake. Banks, payment service providers (PSPs), and other industry participants have to meet these expectations while adhering to constantly shifting regulations. MongoDB provides evolving customer expectations and complies with regulations with an agile approach to data.
Telecommunication:
Telecommunication thrives on AI and IOT and MongoDB is very friendly to work with them and along with a 5G single view and faster response again adding up to its advantage.
Healthcare:
MongoDB apart from its features of fast response and single view also has the Graphic User interface which helps in building FHIR applications and helps in the data interoperability.
Gaming:
Data has always been an essential part of video games. And now that Modern games are multiplayer and online, reach a massive scale, and must evolve quickly to stay relevant. From player profiles to telemetry, matchmaking to leaderboards, data is crucial to making games work — and making them better.
Retail:
Preserving customer information is something very important nowadays also that artificial intelligence has come to play in almost every field. MongoDB with its features tries to provide an omnichannel consumer experience that integrates all online, social, and in-person interactions.
Conclusion
MongoDB is a popular NoSQL database solution that suits modern development requirements. Due to its high performance, high availability, and easy scalability MongoDB is used in the various industries to work fluently.
