Sensor-enabled objects are unleashing torrents of data previously unimaginable. Production lines to patrol cars to pacemakers. New revenue beckons. But sensor data is only useful if you can do something with it.
With MongoDB, you can make sense of sensor data, building applications never before possible. Faster. With less money.
Bosch has built its Internet of Things suite on MongoDB, bringing the power of big data to a new range of Industrial Internet applications including manufacturing, automotive, retail, energy and many others. Learn More.
The Internet of Things is a world where all your physical assets and devices are connected to each other and share information, making life easier and more convenient.
Example applications include:
Remotely monitor vehicle performance and driver behavior using telematic sensor data to text those metrics with insurance premiums.
Use biometric sensor data from patients to alert doctors early so they can prevent medical emergencies.
Give your users the tools and toys to quantify their lifestyles with wearable tech, analyzing diet, exercise, sleep, and the rest of their activities.
Present enticing offers to shoppers using in-store beacons and purchase history data as they walk through your store.
|IoT is Hard||MongoDB Makes it Easy|
|Can’t Stay Ahead. Each new generation of ‘thing’ comes with new sensors. New sensors create new data and new functionality requirements. Relational databases make it hard to incorporate new data and iterate on your data model.||Do the Impossible. MongoDB lets you build apps you could never build before. It can manage data of any structure, no matter how often it changes. You can ship new functionality without redesigning your database.|
|Can’t Scale. 40 billion sensors generate volumes of data. That’s a lot more than a single server can handle. Relational databases weren’t designed for this.||Scale Big. MongoDB is built to scale out on commodity hardware, in your data center or in the cloud. Serve millions of users and billions of sensors without complex hardware or extra software. As sensor data grows, so does MongoDB.|
|Can’t Make Sense of It. You need to analyze rapidly changing, multi-structured data in real time. You don’t have the luxury of lengthy ETL processes to cleanse data for downstream reporting.||Signal vs. Noise. MongoDB can analyze data of any structure. It can do so directly within the database, giving you results in real time, and without expensive data warehouse loads.|
Image courtesy of Bosch, a MongoDB customer
The Internet of Things generates new streams of data previously unimaginable, both in variety and quantity. But this new data is only worth something if your database can keep up.
Organizations are using MongoDB for IoT because it lets them store any kind of data, analyze it in real time, and change the schema as they go.
Whitepaper: Big data platform for the IoT
Complementary Analyst Research: Why NoSQL Databases are Needed for the Internet of Things
Scales real-time smart grid with MongoDB
3-part webinar series covering case studies to code with MongoDB