MongoDB for Manufacturing and Industrial IoT
The right data platform helps you connect your operational technology (OT) and IT data for improved efficiency and real-time decision making
DON'T MISS OUR LATEST WEBINAR
MongoDB & Manufacturing: From Shop Floor to Cloud with MongoDB and Kafka
In this webinar, based upon a small-scale factory model, we will explain how you can use Kafka to collect OT data and store it in MongoDB time series collections using our Kafka Sink connector.
Improve efficiency with real time decisions
The manufacturing industry is under constant pressure to produce more, with better quality at a lower cost. It is not just about creating great physical components or devices anymore. It is about connecting the shop floor (operational technology) with central IT systems and building the next generation “smart” and connected solution. Being able to combine the huge variety of data in a unified data platform will unlock innovative use cases that enable you to make real-time decisions, increase overall equipment effectiveness (OEE), improve product quality and expand in innovative customer experiences.
SOLUTIONS
How manufacturing companies build competitive advantage with MongoDB
Workforce Enablement
Enable your workforce with mobile apps for real time insights and offline capabilities.
Supply Chain Visibility
Develop a single view of your supply chain so you can support innovative initiatives, aggregate inventory updates, and act on trends in real time.
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Real-Time Analytics
Combine your data across IT and OT and analyse it in real-time for faster decisions, higher OEE and better quality.
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Industrial IoT Platform
Combine OT and IT data for real-time decisions, increased OEE and to enable innovative workforce and customer use cases.
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Time Series
Analyze trends based upon time series information in real time for predictive maintenance and reduced downtime.
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Smart Devices
The application data platform let’s you create your innovative “smart” product and connect your company with your customers.
RESOURCES
Manufacturing resources
Looking to learn more about what MongoDB can do?
Take a look at the below resources to find out more.
Take a look at the below resources to find out more.
On-Demand Webinars
Customer Videos
White Papers
Blog
Solution Brief
Capitalizing on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB
IoT is driving continuous change within manufacturing, transforming traditional, linear supply chains into dynamic, interconnected systems. Hear how IoT is being shaped by consumer needs and modern technology innovators.
MongoDB & Manufacturing: From Shop Floor to Cloud with MongoDB and Kafka
In this webinar, based upon a small-scale factory model, we will explain how you can use Kafka to collect OT data and store it in MongoDB time series collections using our Kafka Sink connector.
MongoDB + IoT: Why Your Smart Data Needs a Smarter Data Platform
In this episode, we hear from Rohan Smith, Software Development Lead at EDMI, and have a discussion about how MongoDB’s smart data platform has enabled EDMI to embrace and leverage vast amounts of varied data to provide differentiated value to their customers.
Scalable IoT Projects with MongoDB: Gaining Value from IoT & Digital Twins
This talk introduces how to use MongoDB for IoT projects. It covers best practices from a business and technological perspective.
CUSTOMERS
Success stories in manufacturing
Companies around the world are using MongoDB to scale quickly, develop new products, and increase their speed of innovation.
Toyota Material Handling created a smart factory by moving from a monolith to microservices, Microsoft Azure and MongoDB Atlas. Toyota Material Handling had eight evaluation criteria that were used to decide on which database platform they would use to make the switch: performance, automatic scalability, secutirt and compliance, data locality, automatic backups, cloud agnostic, developer friendly, and developer productivity.
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Vaillant solves scaling IoT challenges with MongoDB Atlas. It didn’t take long for the company to have over 60,000 IoT-connected devices in the field. Just a year later, the number of devices almost doubled. All these were sending more data than Vaillant ever expected. Adding so much new data, so quickly, meant scaling Vaillant’s existing Azure CosmosDB database became difficult. When they implemented MongoDB Atlas, there was no downtime at all, and customers immediately noticed the performance improvements.
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Toyota Material Handling created a smart factory by moving from a monolith to microservices, Microsoft Azure and MongoDB Atlas. Toyota Material Handling had eight evaluation criteria that were used to decide on which database platform they would use to make the switch: performance, automatic scalability, secutirt and compliance, data locality, automatic backups, cloud agnostic, developer friendly, and developer productivity.
Read the story →
Vaillant solves scaling IoT challenges with MongoDB Atlas. It didn’t take long for the company to have over 60,000 IoT-connected devices in the field. Just a year later, the number of devices almost doubled. All these were sending more data than Vaillant ever expected. Adding so much new data, so quickly, meant scaling Vaillant’s existing Azure CosmosDB database became difficult. When they implemented MongoDB Atlas, there was no downtime at all, and customers immediately noticed the performance improvements.
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Longbow Advantage uses data to enhance supply chain visibility and efficiency. Its flagship warehouse visibility platform, Rebus combines real-time performance reporting with end-to-end warehouse visibility and intelligent labor management. With Rebus and MongoDB, manufacturers, retailers and distributors can segment different business lines like e-commerce, traditional retail, direct to consumer, and more to ensure that they are being productive and meeting the appropriate deadlines.
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Inelo is the leading provider of transportation and monitoring solutions in Europe – powered by Atlas App Services. Using MongoDB Atlas Device Sync in conjunction with REST APIs (for larger, specialized files), Inelo was able to implement the real-time communication service they needed. As part of building the new solution, they migrated their application data from a relational database to MongoDB Atlas, the global cloud database service. The new platform was fast and scalable, and dramatically increased developer productivity.
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With such a wide-reaching, diverse product base, IoT represents a huge opportunity for the Bosch Group to increase efficiency and to develop new business models. It also poses a significant challenge, to design, develop and operate innovative software and industry solutions in the IoT. 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.
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American Tire Distributors (ATD) is the largest replacement tire distributor in North America providing “tires at the speed of now” through more than 140 distribution centers serving 130,000 manufacturers and retailers across the U.S. and Canada. ATD is working with MongoDB and Google Cloud to support its digital transformation and solve a universal problem: how to unleash the massive amounts of data locked up in legacy data stores on-premise.
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