MongoDB — Industry Use Cases
What is MongoDB?
MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++. It is categorized under the NoSQL (Not only SQL) database because the storage and retrieval of data in MongoDB are not in the form of tables.
It also provides support for all the popular languages like C, C++, C#, and .Net, Go, Java, Node.js, Perl, PHP, Python, and many more.
Features of MongoDB :
Schema-less Database:
It can hold different types of documents in it which provides flexibility to databases. Documents may consist of different numbers of fields, content, and size.
Indexing:
Every field in the document of MongoDB is indexed with primary and secondary indices which makes it easier and takes less time to get or search data from the pool of the data. We can index any field in MongoDB
Document Oriented:
Document Oriented is a great feature that helps MongoDB stand out among others. We have tables and rows columns structure for SQL, we have fields in key values pair, with MongoDB.
High Performance:
MongoDB provides database Profiling, which collects the complete data for every operation that is executed against the MongoDB instance. The performance of MongoDB is very high due to the features like indexing, replication, etc.
Scalability:
It provides us horizontal scalability with the help of sharding.
Replication:
It's a process of distributing the data on multiple servers where primary and secondary nodes are introduced. Whenever a primary node, with the data, is down or experiences failure, the secondary node will be the working primary node, making it possible for the data to be available.
Aggregation Pipeline:
The process of creating a pipeline of multiple operations and getting the desired result.
Ad Hoc Queries Support:
MongoDB supports queries that were not known while establishing a structure for the database. The ad hoc query is also an important feature in MongoDB.
What is the use case for MongoDB in industries?
Mobile applications:
MongoDB’s JSON file version helps you to keep back-stop software information anywhere you want it, which include in Apple iOS and Android devices as properly as cloud-primarily based totally devices solutions.
Real-time analytics:
MongoDB handles the conversion of JSON and JSON-like documents, like BSON, into Java objects effortlessly, making the reading and writing of knowledge in MongoDB fast and incredibly efficient when analyzing real-time information across multiple development environments
Internet of Things:
The IoT already connects billions of devices worldwide, and that number is growing daily. Many market observers predict that only by adopting IoT can organizations fully unlock the revenue opportunities promised by digital transformation. MongoDB can help you rapidly capture the most value from the IoT.
Gaming:
Development speed, Global Reach, Massive Scale, Always on.
“MongoDB has been central to us scaling from zero to over 4m users in just 18 months.”
BOSCH uses MongoDB
IoT goes beyond simply connecting assets and devices. It requires creating services that gather data and deliver immediate insight. The Bosch IoT Suite and the integrated database from MongoDB make this possible.
Take, for example, the automotive field data app that Bosch is piloting. The app captures data from the vehicle, such as the braking system, power steering, and windshield wipers. The data can then be used to improve diagnostics for preventative maintenance needs, as well as analyze how components are performing in the field. The value isn’t simply in the sensor attached to the electromagnetic components, but in how the back-end service is able to improve maintenance and product design processes.
In another example, an app based on the Bosch SI technology gives aircraft manufactures unprecedented control over how operators use highly advanced power tools used to tighten the six million screws, nuts, and bolts on an airplane — a mission-critical job with zero room for error.
The app captures all data transmitted wirelessly, including battery level, operator details, and time-series calibration readings. If the torque or angle is off by the slightest bit, the app sets off an alarm so the operator can make on-the-fly adjustments. It manages maintenance schedules, tracks and traces details to prevent the loss, and also creates an audit trail of tightening processes for compliance with the FAA and other regulatory bodies. By connecting data to manufacturing processes in real-time, the app makes that power tool exponentially more powerful.
In both instances, the Bosch IoT Suite collects data from individual sensors and equipment — the car’s braking system, or the wireless tightening tool. MongoDB stores manage and analyze all of this event data in real-time. MongoDB also stores business rules that trigger alarms and notifications, such as “alert driver when brake pressure drops below a certain level” or “send an alarm when tool is being used incorrectly.”
Thermo Fisher
Thermo Fisher, the world leader in serving science, needed a database that can easily handle a wide variety of fast-changing sensor data captured from multiple devices and experiments. That’s why Thermo Fisher chose MongoDB as the database foundation for its Thermo Fisher Cloud.
