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MongoDB and AWS: Accelerating Automotive Innovation

From the factory to the finish line, drive efficiencies with MongoDB Atlas on AWS



Connect the factory to central IT systems and combine a huge variety of data in a unified data platform. MongoDB Atlas on AWS unlocks innovative use cases so you can deliver next-generation vehicle experiences.

Discover the tools you need to make real-time decisions, increase overall equipment effectiveness, improve product quality, and enhance the customer experience. And capitalize on all your intel with time-series applications that can analyze trends and quickly identify anomalies—before they cause failures.

How MongoDB Atlas on AWS Powers Automotive Innovation

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Industry 4.0

Bring on data-driven insights and real-time analytics. With MongoDB Atlas on AWS, you can combine your data across IT and operational technology (OT) and analyze it in real-time for faster decisions, higher overall equipment effectiveness (OEE), and better quality.

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Real-Time Analytics

Industrial IoT (IIoT) and connected devices data volumes are growing exponentially. MongoDB Atlas on AWS scales seamlessly and can ingest enormous amounts of sensor and event data. Power real-time analytics to catch critical events as they happen.

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Storage Auto-Scaling

MongoDB Atlas on AWS provides automated scalability allowing you to adapt your clusters with demand. As sensor data gets colder over time, automatically offload cold data into Amazon S3, while maintaining the ability to query hot and cold data through a single API.

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Developer Efficiency

As a leading developer platform on AWS, MongoDB Atlas helps you gain efficiencies to build digital twins and applications faster. Use MongoDB Atlas as your cloud backend on AWS—plus MongoDB Realm and Atlas Device Sync—to make it easier to connect smart vehicles with cloud and mobile applications and delivers powerful middleware for digital twins.

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Time Series Applications

MongoDB Atlas on AWS supports time series data natively so you can analyze trends and identify anomalies quickly. The combination of time series data with other data structures such as digital twin models within the same data platform dramatically reduces complexity, development efforts, and costs by avoiding additional ETL processes and data duplication.

Resources from MongoDB Atlas and AWS

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Unpacking Digital Twin Data Middleware with AWS and MongoDB Atlas

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Level Up Your Connected Product Experience with AWS and MongoDB

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How to solve the digital twin challenge using building blocks from MongoDB on AWS

REAL-TIME VISIBILITY
"We expect to process 20 times as many events in just two years’ time — that’s two billion per day and Atlas is well placed to handle that massive increase without a problem"
Erik Wernqvist
Lead solution architect, Volvo Group Connected Solutions
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DEVICE SYNC
“You can build your app how you want it to run offline then incorporate sync, and it just works!”
Emanuel Balea
Solution Architect, THL Digital
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SCALABILITY
“MongoDB Atlas on AWS is stable and scalable, and gives us the flexibility we need for critical operational work.”
Ranjan Moses
WeKan, Chief Technology Officer
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