IoT is not only about connecting objects to the internet. It is first and foremost about collecting data. As you connect more and more objects, a database that is optimized for IoT data will be key to the success of your business. MongoDB and MongoDB Atlas, the cloud offering from MongoDB, is a solution of choice for your IoT needs. It can handle large volumes of data, can scale horizontally or vertically, and natively supports time series data, typical in IoT architectures.
Try it out on Atlas now for free
Capturing Value from the IoT
Digital Transformation drives an increasing integration between the physical and digital worlds---with IoT being a critical component not just in manufacturing, but smart cities, smart homes, smart cars, and much more. Realizing the business value of connecting all of these "things" enables creation of new revenue models, improves productivity, and generates new insights that drive operational efficiencies. 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, with its ability to efficiently handle and blend IoT and operational data in real-time, helps you to rapidly capture the most value from IoT.
Industry Leading IoT Platforms are Powered by MongoDB
Bosch has built its IoT suite on MongoDB, bringing the power of data to a new range of Industrial Internet applications including manufacturing, automotive, retail, energy, and many others.
Cumulocity IoT---part of Software AG---is a leading IoT platform in Europe, which has been built from the ground up to be open, rapid to deploy, and distributed. In order to handle diverse, rapidly changing data at an extreme scale, Cumulocity leveraged MongoDB to help solve this challenge
Learn more how Cumuloicty uses MongoDB time-Series →
WHAT YOU NEED FROM YOUR DATA PLATFORM
IoT Database Features with MongoDB
MongoDB---and its SaaS version, MongoDB Atlas---is the database of choice to help you meet your business needs with regard to IoT. It will help you with the challenges encountered with IoT databases and provide you with additional features that will make your IoT architecture more efficient.
High-Speed Data Ingest and Real-Time Analytics
Each new generation of "thing" comes with new sensors, emitting unprecedented volumes of data and providing new insights into the business. Building and operating IoT applications requires a data platform capable of ingesting massive volumes of sensor and event data with concurrent support for real-time analysis to flag anomalies and critical events as they happen.
Event-Driven, Real-Time Architecture
An event-driven architecture creates a data pipeline where event producers---devices and gateways in your IoT network---generate a stream of events, and event consumers listen and react to those events in near real-time. Producers and consumers are all decoupled from each other, which removes dependencies between components, and the system can grow and shrink in response to demand.
Intelligent Edge
Today, the compute power of the cloud is moving to the edge. Instead of sending every bit of data from the sensor to the cloud, edge devices are becoming more intelligent, pre-aggregating data, performing analytics locally, and synchronizing data to the cloud. Not only does this reduce network traffic, it also allows for business insights to be made locally, increasing productivity.
Fast, Flexible Development Experience
Our Intelligent Data Platform supports your IoT apps from edge to core. From the devices at the edge of the network to the IoT applications at the core, our Application Data Platform accelerates and de-risks the delivery and operation of your IoT applications. We start with MongoDB, the world's most popular database, and bind in complementary technologies such as Apache Kafka to become part of an integrated, event-driven IoT platform.
Time-Series Data - Simplified
With native Time-Series Data support in MongoDB 5.0, you can ingest, query, and process Time-Series with the same ease that MongoDB is known for, reducing complexity and accelerating development time. New date operators and window functions allow you to identify trends and anomalies in real-time---without the need for more database proliferation. Query blended data in the same platform and accelerate your developers' productivity and projects.
Realm Sync: Reliability in a Disconnected World
Realm Sync can ensure that nothing is getting lost---even without a mobile signal. Simplify your automotive, farm machinery, logistics project. Best of all, Realm is available on many platforms, super lightweight, and embeds right into your application. It can then easily be deployed and integrated with frameworks such as Azure IoT Edge, AWS Green Grass, and others.
Our Application Data Platform Supports Your IoT Apps from Edge to Core
MongoDB's Application Data Platform provides a horizontal data player, that simplifies and accelerates the delivery and operation of your IoT applications. MongoDB, the world's most popular database, gained significant capabilities in the last few years to be part of your integrated, event-driven IoT solution.
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MongoDB Atlas
MongoDB Atlas is our on-demand, fully-managed, and global database-as-a-service (DBaaS) that runs on all leading cloud platforms so you can focus on apps, not ops.
A leader in the DBaaS space, Atlas radically simplifies development and operations, provides a persistence layer for event-driven architecture, and distributes data to consumers whenever and wherever needed.
Atlas lets you scale at the click of a button, in response to an API call, or fully automatically as loads grow, to keep up with the demands of your microservices---with no downtime, full security, and complete data protection.
Our newly available Time-Series Collections in MongoDB allow you to capture, process, and interact with Time-Series data with the same tools and simplicity as with other MongoDB data. New date operators and window functions give you insight in real-time to enable business applications that work in the now.
MongoDB Change Streams enables applications to stream real-time data changes in the database by leveraging MongoDB's underlying replication capabilities. Change Streams can notify your application of all writes to documents (including deletes) and provide access to all available information immediately as changes occur in the database.
Applications can consume change streams directly via a message queue, but MongoDB's Atlas Triggers provides a serverless way of consuming change stream events. MongoDB Change Streams drives Atlas Triggers to create responsive, event-driven pipelines.
Triggers can execute MongoDB Functions on predefined schedules or in real-time, responding to database changes or user authentication events.
Learn More →
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MongoDB Realm
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MongoDB Realm is part of our mission to get the database out of the way of developer productivity.
Realm is a serverless application platform that provides an elastically scalable infrastructure for handling requests and coordinating cloud service and database interactions. Think of Realm as adding value to your business applications by removing the need for tedious boilerplate code and automatically managing your application's backend.
With Realm, there is no need to monitor and manage requests per second. The Realm platform takes care of the infrastructure, allowing you to focus on the high-value parts of your applications.
Realm accelerates development with simple, secure access to data and services to help you build the fastest, most reactive, always-on apps and get them to market faster while reducing operational costs and effort.
Realm works with any MongoDB Atlas cluster and contains these client components:
MongoDB Realm SDK to leverage the power of the lightweight Realm database on mobile and IoT edge devices.
MongoDB Realm Sync to sync data changes between MongoDB Realm instances on the edge and MongoDB Atlas.
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Full Data Lifecycle Management
MongoDB's data platform capability supports the entire data lifecycle from ingestion, storage, querying, real-time analysis, and visualization all the way through to online archiving. With MongoDB Atlas you can not just historically couple, but even query across hot and archived data. You can easily configure your system to ensure the best balance between real-time query speed and storage efficiency for your use-case.
MongoDB's IoT Reference Architecture
MongoDB is your partner of choice when it comes to IoT databases. MongoDB offers a wide range of products and solutions that will simplify your IoT architecture.
Analytics with MongoDB
MongoDB offers many options for machine learning and analytics. To visualize your IoT data, use the MongoDB Connector for BI with third-party reporting tools like Tableau, Microstrategy, and others, or use MongoDB Charts, the easiest way to visualize your data. The MongoDB Connector for Apache Spark lets you access Spark libraries for streaming, machine learning, and graph APIs. Unleash the power of Python in your analysis with the native MongoDB Python driver or our array of other drivers supporting popular analytics languages like R.
MongoDB Connector for Apache Spark
Connector for BI
MongoDB Charts
Why MongoDB?
Best way to work with data
MongoDB's flexible document data model makes working with data unimaginably easy, whether you're working with data held locally in your IoT devices or MongoDB Atlas in the back end.
Intelligently put data where you need it
MongoDB is distributed by design. Atlas lets you precisely control where you place data globally so you can ensure fast performance anywhere across all of your IoT and enterprise data.
Freedom to run anywhere
MongoDB offers a unified experience that gives you the freedom to run anywhere. Gain total deployment flexibility and build a ubiquitous data layer from your data center to the cloud and your IoT devices.
- Ease: Documents match objects in code, making it faster and easier for developers to build new IoT apps. JSON is the language of APIs, which means you can use the same data model and syntax from the device to the back end. This increases developer productivity and enhances both efficient API design and data model consistency.
- Flexibility: Add new time series data elements, sensors, and devices without the need to wrangle with database schema changes.
- Versatility: Query IoT data any way you want to support rich application functionality, real-time analytics, and user experience.
- Integration: Work seamlessly with all of the leading systems for streaming data, machine learning, BI, and more.
- Security: Robust access controls, auditing, and encryption controls protect valuable IoT data both in flight and at rest.
With You Every Step of the Way
MongoDB Professional Services engages with you to build an Innovation Accelerator and to provide Innovation Solution Kits, combining advisory consulting, program governance, and application lifecycle expertise---all cultivated from best practices developed with the world's most innovative organizations. This helps you capture the full value of your IoT deployment with always-on applications to act on the huge volumes of new IoT sensor data. Learn more →