BLOGAnnounced at MongoDB.local NYC 2024: A recap of all announcements and updates — Learn more >

MongoDB for Manufacturing

Realize the potential of Industry 4.0 with MongoDB’s developer data platform. Gain real-time insights, improve overall equipment effectiveness (OEE), and build modern Internet of Things (IoT) applications.
Illustration of a car and charge
MongoDB for Automotive Manufacturing
With its document-oriented data model, real-time analytics capabilities, and seamless integration with other cutting-edge technologies, MongoDB has become the go-to choice for forward-thinking automakers and suppliers.Read the White Paper
Contact Us
  • IT Executive (CIO, CTO, VP Engineering, etc.)
  • Business Executive (CEO, COO, CMO, etc.)
  • Architect
  • Business Development / Alliance Manager
  • DBA
  • Technical Operations
  • Director / Development Manager
  • Product / Project Manager
  • Software Developer / Engineer
  • Mobile Developer
  • Business Analyst
  • Data Scientist
  • Student
  • Other
  • United States
  • Afghanistan
  • Åland Islands
  • Albania
  • Algeria
  • American Samoa
  • Andorra
  • Angola
  • Anguilla
  • Antarctica
  • Antigua and Barbuda
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
  • Bahamas
  • Bahrain
  • Bangladesh
  • Barbados
  • Belarus
  • Belgium
  • Belize
  • Benin
  • Bermuda
  • Bhutan
  • Bolivia, Plurinational State of
  • Bonaire, Sint Eustatius and Saba
  • Bosnia and Herzegovina
  • Botswana
  • Bouvet Island
  • Brazil
  • British Indian Ocean Territory
  • Brunei Darussalam
  • Bulgaria
  • Burkina Faso
  • Burundi
  • Cambodia
  • Cameroon
  • Canada
  • Cape Verde
  • Cayman Islands
  • Central African Republic
  • Chad
  • Chile
  • China
  • Christmas Island
  • Cocos (Keeling) Islands
  • Colombia
  • Comoros
  • Congo
  • Congo, the Democratic Republic of the
  • Cook Islands
  • Costa Rica
  • Côte d'Ivoire
  • Croatia
  • Curaçao
  • Cyprus
  • Czech Republic
  • Denmark
  • Djibouti
  • Dominica
  • Dominican Republic
  • Ecuador
  • Egypt
  • El Salvador
  • Equatorial Guinea
  • Eritrea
  • Estonia
  • Ethiopia
  • Falkland Islands (Malvinas)
  • Faroe Islands
  • Fiji
  • Finland
  • France
  • French Guiana
  • French Polynesia
  • French Southern Territories
  • Gabon
  • Gambia
  • Georgia
  • Germany
  • Ghana
  • Gibraltar
  • Greece
  • Greenland
  • Grenada
  • Guadeloupe
  • Guam
  • Guatemala
  • Guernsey
  • Guinea
  • Guinea-Bissau
  • Guyana
  • Haiti
  • Heard Island and McDonald Islands
  • Holy See (Vatican City State)
  • Honduras
  • Hong Kong
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Iraq
  • Ireland
  • Isle of Man
  • Israel
  • Italy
  • Jamaica
  • Japan
  • Jersey
  • Jordan
  • Kazakhstan
  • Kenya
  • Kiribati
  • Korea, Republic of
  • Kuwait
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • Latvia
  • Lebanon
  • Lesotho
  • Liberia
  • Libya
  • Liechtenstein
  • Lithuania
  • Luxembourg
  • Macao
  • Macedonia, The Former Yugoslav Republic of
  • Madagascar
  • Malawi
  • Malaysia
  • Maldives
  • Mali
  • Malta
  • Marshall Islands
  • Martinique
  • Mauritania
  • Mauritius
  • Mayotte
  • Mexico
  • Micronesia, Federated States of
  • Moldova, Republic of
  • Monaco
  • Mongolia
  • Montenegro
  • Montserrat
  • Morocco
  • Mozambique
  • Myanmar
  • Namibia
  • Nauru
  • Nepal
  • Netherlands
  • New Caledonia
  • New Zealand
  • Nicaragua
  • Niger
  • Nigeria
  • Niue
  • Norfolk Island
  • Northern Mariana Islands
  • Norway
  • Oman
  • Pakistan
  • Palau
  • Palestinian Territory, Occupied
  • Panama
  • Papua New Guinea
  • Paraguay
  • Peru
  • Philippines
  • Pitcairn
  • Poland
  • Portugal
  • Puerto Rico
  • Qatar
  • Réunion
  • Romania
  • Russian Federation
  • Rwanda
  • Saint Barthélemy
  • Saint Helena, Ascension and Tristan da Cunha
  • Saint Kitts and Nevis
  • Saint Lucia
  • Saint Martin (French part)
  • Saint Pierre and Miquelon
  • Saint Vincent and the Grenadines
  • Samoa
  • San Marino
  • Sao Tome and Principe
  • Saudi Arabia
  • Senegal
  • Serbia
  • Seychelles
  • Sierra Leone
  • Singapore
  • Sint Maarten (Dutch part)
  • Slovakia
  • Slovenia
  • Solomon Islands
  • Somalia
  • South Africa
  • South Georgia and the South Sandwich Islands
  • Spain
  • Sri Lanka
  • Suriname
  • Svalbard and Jan Mayen
  • Swaziland
  • Sweden
  • Switzerland
  • Taiwan
  • Tajikistan
  • Tanzania, United Republic of
  • Thailand
  • Timor-Leste
  • Togo
  • Tokelau
  • Tonga
  • Trinidad and Tobago
  • Tunisia
  • Turkey
  • Turkmenistan
  • Turks and Caicos Islands
  • Tuvalu
  • Uganda
  • Ukraine
  • United Arab Emirates
  • United Kingdom
  • United States Minor Outlying Islands
  • Uruguay
  • Uzbekistan
  • Vanuatu
  • Venezuela, Bolivarian Republic of
  • Viet Nam
  • Virgin Islands, British
  • Virgin Islands, U.S.
  • Wallis and Futuna
  • Western Sahara
  • Yemen
  • Zambia
  • Zimbabwe

Driving innovation from factory to finish line

Increase production efficiency, reduce costs

Increase production efficiency, reduce costs

Devices and equipment across the shop floor and beyond are constantly generating valuable data. With MongoDB’s developer data platform, you can extract the value from that data to ensure more efficient operations and reduced downtime.Volvo Connect scales with Atlas
Digital transformation for modern applications

Digital transformation for modern applications

Leave legacy operations and systems behind. Modern applications are powering innovation across manufacturing and automotive — factory automation, connected vehicles, enhanced supply chain efficiency, and more. Build the next big thing with MongoDB.Toyota creates smarter factories
Accelerate innovation with IoT applications

Accelerate innovation with IoT applications

IoT already connects billions of devices worldwide. As more IoT enabled devices come online — with even more sophisticated sensors — realizing business value from the enormous flow of device data demands the right database.Vaillant solves IoT challenges

Solutions for Manufacturing

Realize the business value of your manufacturing data
Atlas for the Edge in Manufacturing

Atlas for the Edge in Manufacturing

Unlock the full potential of your factory floor with data you can rely on. Atlas for the Edge brings conflict resolution, real-time synchronization, and seamless scaling to your IoT devices and connected workforces.

enterprise_advanced_product family

Industry 4.0

Industry 4.0 holds vast potential for manufacturers. Learn how MongoDB can facilitate your move to connected, data-driven manufacturing processes.


Smart supply chain

MongoDB auto-scales to ingest enormous amounts of sensor and event data and support real-time analysis for catching any critical events or changes as they occur.


Smart factory

Accelerate manufacturing digital transformation. Developers can easily build Industrial Internet of Things (IIoT) apps on MongoDB, connecting thousands of sensors and devices across the shop floor.


Smart commerce

Increase the lifetime value of your business with simplified Customer 360, advanced product catalog data management, and out-of-the-box inventory management capabilities that will save you time.


Smart products and services

Data processing inside the vehicle, the cloud, and mobile seamlessly integrated and purely consumption based on the hyperscaler of your choice.


IoT applications

Industrial IoT applications built on MongoDB can become a key differentiator for successful manufacturing companies throughout the entire supply chain.

Industry Accelerator Program

Learn about our mission-critical solution accelerators – from industry innovation days, access passes, and jumpstart programs – that drive industry innovation.
Learn more
"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
Read the whole story
“When we implemented MongoDB Atlas, there was no downtime at all, and our customers immediately noticed the performance improvements. The whole experience was fantastic.”
Jürgen Stauvermann
Senior Java software engineer, Vaillant
“We strive to have 90% of transactions processed within 330 milliseconds – that’s the blink of an eye. There are certain transactions that need to be completed within 200 milliseconds, others in 50 milliseconds. It would be impossible to meet these standards without the performance of the MongoDB Atlas platform.”
Nithin Prasad
Engineering Manager, GEP

Industry Partnerships and Alliances

MongoDB’s robust partner ecosystem, global industry alliances, and proven technology integrations make MongoDB Atlas the leading solution for innovation within the manufacturing industry. View the full MongoDB Partner Ecosystem Catalog.
AWS logo image

MongoDB Atlas, the fully-managed and flexible developer data platform that is easily accessible in the AWS Marketplace, has been named a recommended partner by AWS for automotive solutions.

COVESA logo image

MongoDB collaborates closely with The Connected Vehicle Systems Alliance to provide open solutions for automotive industry challenges to help create a more integrated mobility ecosystem.

HiveMQ logo image

Maximize value and achieve real-time, application-driven analytics by effortlessly moving IoT data to MongoDB Atlas using the HiveMQ Enterprise Extension for MongoDB.

Alibaba Cloud logo image

By efficiently managing and analyzing Big Data, MongoDB and Alibaba Cloud are paving the path toward reliable and safe self-driving technology with ApsaraDB for MongoDB.

Volvo Connect
Cox Automotive

Learn more

Get valuable insights on leveraging MongoDB for Manufacturing.
View More Resources
Manufacturing with MongoDB
Manufacturing with MongoDB
With MongoDB, you gain a single view of your data and analyze it all in one place. Make real-time decisions that increase OEE, automate your factory, and serve customers long after your products have left the shop floor.
Get a real-time, single view of operations
MongoDB for Manufacturing

MongoDB for Manufacturing

Speak to one of our expertsContact Us


Common questions on manufacturing and auto data
How are databases used in manufacturing?

The manufacturing and automotive industries are under pressure for constant innovation — delivering better products as fast as possible and at the lowest cost for both producers and end buyers. Massive volumes of data trapped in legacy systems are holding these industries back from reaching their true potential.

Instead of depending on reactive data analysis, slowed by siloed and legacy systems, MongoDB’s developer data platform connects operational technology and IT data for improved overall equipment effectiveness (OEE), and enables the jump from manufacturer to a business able to accelerate customer satisfaction and monetize connected, smart products. Whether it’s adopting Industrial Internet of Things (IIoT) solutions or gaining a single view of your business from raw goods to shipped products, data underpins the entire operation.

With MongoDB’s developer data platform, manufacturers and automotive industry leaders can combine the enormous variety and volume of data their equipment and products produce into a single view and analyze it all in one place. This enables them to make real-time decisions that increase OEE, automate the factory, and serve customers long after their products have left the shop floor.

What is Industry 4.0?

Industry 4.0 (I4.0) symbolizes the beginning of the Fourth Industrial Revolution. It represents the current trend of automation technologies in the manufacturing industry and includes the enabling disruptive technologies and concepts such as Cyber-Physical Systems (CPS), Industrial Internet of Things (IIoT), cloud computing, and immersive visualization.

IIoT and CPS technologies are integrating the virtual space with the physical world. This is resulting in a new generation of industrial systems, such as smart factories, to deal with the complexity of fast-paced and hyper-personalized production in current macro environments.

What can be achieved through Industry 4.0?

Industry 4.0 technologies, such as IIoT and CPS, are integrating the virtual space with the physical world. This is resulting in a new generation of industrial systems, such as smart factories, to deal with the complexity of fast-paced and hyper-personalized production in current macro environments.

IIoT is expected to offer promising transformation of existing industrial systems enabling digital transformation and unlocking tomorrow’s smart enterprise. The technology has been finding its way into products and sensors all while revolutionizing the existing manufacturing systems; thus, it is considered to be a key enabler for the next generation of advanced manufacturing.

How are industrial intelligence applications driving digital transformation?

Industry 4.0 generally comprises many complex components, and has broad applications in all manufacturing sectors. One of the biggest challenges faced by manufacturing companies is to make use of data generated by connected equipment and products to drive insights.

The digital economy is demanding that manufacturing applications become smarter, drive better customer experiences, surface insights, and take intelligent action directly within the application on live operational data — in real-time. The objective is to always out-innovate the competitors. To meet those demands for working with fresh data, we can no longer rely only on moving data out of our operational systems into analytics stores — this adds too much latency and separates the application from the insight that is created. To overcome these challenges, analytics processing has to be “shifted left” to the source of the data — to the applications themselves. MongoDB calls this shift “Application-Driven Analytics.'' And it’s a shift that both developers and analytics teams need to be ready for because it impacts their roles and responsibilities, along with the tools and technologies they are using.

MongoDB serves application-driven analytics through a set of platform capabilities and features — from database through data lake, a federated query service and connectors.

What are some of the challenges and risks associated with Industry 4.0?
One of the biggest challenges for manufacturing companies is to modernize the legacy infrastructure with new technologies, which can be time consuming and difficult to maintain. Additionally, the increased use of IoT sensors and devices result in large amounts of data being generated that need to be stored effectively and analyzed upon. MongoDB helps manufacturers overcome these challenges by offering scalability, flexibility, advanced security features, real-time application-driven analytics, and the freedom to run anywhere.
How can manufacturers ensure data privacy and security in their Industry 4.0 applications?
Connected IoT devices publish tremendous amounts of data, which increase the risk of cyberattacks and data breaches. To counter this risk, manufacturers can implement security measures, such as encryption, access controls, and auditing and logging to protect their data. MongoDB Atlas is designed with security in mind, providing robust access control mechanisms, native encryption at rest and in transit to protect sensitive data in the database.
What MongoDB features are most relevant for Industry 4.0?
  1. Data sources in a smart factory can be varied and complex. MongoDB's flexible document model allows manufacturers to store and manipulate data in a way that best fits their application.
  2. IIoT devices generate huge amounts of data and MongoDB’s distributed architecture allows manufacturers to scale their infrastructure horizontally allowing for near-limitless scaling to handle big data and intense workloads.
  3. With native time series support and a strong aggregation framework, MongoDB can easily ingest, query, and process time series data. This is particularly important for IoT applications where data tends to be time series.
  4. Robust security features include encryption, authorization, authentication, and auditing.
  5. Embedded database (Realm) for IoT gateways and reliable data sync ensuring data from connected gateways never gets lost even when the signal drops.