Automotive Data Solution

Edge Computing & the Automotive Industry: an Overview

The current mobility landscape is shifting towards a data-enabled, driverless system. The more that computers become involved in the operation of cars, the more vital reliable, efficient, and fast data management will become. The number of connected vehicles will grow to about 100M globally by 2025, and car data itself is projected to hold a value of $750 billion by 2030.

Today, connected vehicles produce over 25,000 MB of data every hour and soon the data volume transmitted between vehicles and the cloud will be about 100 petabytes per month. This data should not and cannot all be sent to the cloud. Edge Computing, enabled by technologies such as ObjectBox, will be a critical tool to curb high cloud costs, improve user experience, ensure safe, real-time response rates, and protect personal data amidst increasing regulatory standards.

ObjectBox Empowers Edge Computing in Vehicles

Ensure Offline-capability and Reliability

Whenever you are driving at some point you will not have an internet connection. Many automotive use cases require offline capability – for example, while on the move, in underground garages, or remote areas.

ObjectBox enables automotive applications to always work – not matter if the device is connected to the internet or not, providing a seamless user experience. At the same time, ObjectBox ensures that data is reliably stored and never lost with ACID compliant transactions, the gold-standard in data management.

Keep Personal Data personal – with the User

Most users are not willing to share their personal data with auto manufacturers; in fact 90% of EU respondents in an FiA survey believed that vehicle data belonged to the vehicle owner or driver.

ObjectBox allows developers to build apps that keep personal data with the user – enabling a personalized user experience without bringing data ownership into question.

Sync Data and Save Costs

While Edge Computing has many benefits, many projects need part of their data at a central point, accessible in the cloud. With ObjectBox Sync, you choose which data to synchronize and when, keeping cloud costs reasonable as projects scale.

ObjectBox Sync will also enable data synchronization directly between devices, facilitating Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) use cases.

Use Cases for Automotive on the Edge

There are countless application for edge computing in vehicles – from measuring tire pressure to monitoring driver behavior, there are many data points which can be stored and used the edge, in real time, to make cars smarter, safer, and more efficient. Using ObjectBox, developers can build applications that store and process data on the edge, and sync relevant data to a centralized cloud to peer-to-peer between devices, enabling new use cases or enhancing existing projects. Here are examples of how our automotive data solution works:

Automotive Data Solution

Collecting Test Drive Data

Automotive manufacturers complete extensive test drives with new vehicle models, during which they collect a wide range of data (from the car and smartphone). Currently, many car manufacturers send this test drive data directly to the cloud, to be processed and analyzed. However, based on these applications, manufacturers strive to deploy many of these functionalities with regular cars. This would enable them on one hand to monitor their cars on the road (anonymized) to e.g. inform future design based on actual user behavior, or detect anomalies that occur. On the other hand, they could also provide their customers with more insights into their cars and their driver behavior as well as provide them with additional features like predictive maintenance that would help everyone lower car break downs.

  • Scale data collection and processing sustainably
  • Real-time information and feedback for the driver
  • Data synchronization transfers data when the phone or car is back online

 Carbon Footprint Calculator

In the past decade it has become clear the role that vehicle carbon consumption plays in greenhouse gas emissions. In the United States, vehicle emission make up 29% of greenhouse gas emissions, and worldwide, vehicle emissions make up 72% of global transport emissions, which has seen an 80% rise in emissions between 1970-2010. Increasing consumer awareness and government regulation make a carbon footprint calculator a relevant tool. With ObjectBox you can reliably persist all needed data – on- and offline – in the vehicle, including speed, fuel level, kilometers travelled, ambient temperature, wiper sensor, altitude, and number of passengers. With this data you can calculate and track specific vehicle carbon footprint in the car. ObjectBox then takes care of synchronizing parts of the data that matter to a mobile phone and / or the cloud server of vehicle manufacturers.

  • Track exact carbon emission footprint with accurate, real time data
  • Edge applications can gather and analyze this data, summarizing data into useful summary

Tire Pressure Monitoring

Tire pressure is an important aspect of car maintenance that car drivers would love to be aware of all the time. Tire pressure is important to vehicle safety, because it affects  vehicle handling and stability. Also, inappropriate tire pressure leads to tire wear and tire failures. Using edge computing, a small smart node can monitor tire pressure in the car. At regular intervals or when a significant change occurs, the node can send data to the car interface and/or the user’s smartphone notifying the driver of the change and advising on actions to take. Using defined specs, like these open source vehicle spec standards, vehicle manufacturers like BMW, Volvo, and Jaguar can model this data in a standardized way, opening up future use cases and data exchange as needed.

  • Data is kept locally, driver is alerted when pressure is too low
  • Using a digital twin, data can be updated a different intervals for different parts

Personalized Comfort Settings

Edge computing enables an amazingly broad range of use cases, including user experience use cases. Personalized seat settings – for example, how far forward the driver seat is, tension level, or back support – is data that is stored locally, on the edge, in the car seat. An app allow users to save and adjust their personal settings via their smartphone. Edge data storage and data synchronization keeps the data saved in the seat and on the app in sync – so when users get in the car they the ultimate comfort with minimal effort.

  • Improves user experience
  • Synchronization keeps both instances up to date




Roadworthiness tests are regularly carried out to reduce accidents, technical failure and to avoid excessive emissions. Roadworthiness of a vehicle can be determined by tracking a combination of data, including: tire pressure, oil level, coolant level, fuel level and/or battery status. By collecting and analyzing this combination of data with sensors on the edge, car owners can ensure that cars are in the best condition to drive, without having to take it to the shop.


  • Standardized data makes regulation simpler
  • Up to date data on roadworthiness keeps drivers safer


Mobility sharing is a service that includes ride-sharing, car-sharing, and even parking lot sharing. Multimodal navigation services provide end-to-end route guidance that use various modes of transportation and mobility sharing services information. Mobility-as-a-service will necessitate multiple types of real time information being shared in a timely and actionable manner between asset owners, service providers, and end-users; accordingly, edge computing processes necessary data on the edge, in real time, while ObjectBox sync makes it available where needed, when needed.

  • Real time, up to date data, synchronized between providers
  • Up to date data for queries or e.g. continuous location data

ObjectBox in a Nutshell



ObjectBox is a high performance data storage solution for IoT and Mobile devices. For the devs: embedded, object-oriented, NoSQL, ACID compliant, <1MB footprint, time series feature, 10x faster than alternatives (see open source benchmarks).


data sync

ObjectBox Sync syncs the data you want to sync between edge device and the cloud automatically for you. It’s super efficient, so it saves energy and cloud costs. It is out-of-the-box, so developers save time and can go to market faster.


why edge computing?

Edge Computing keeps data local, and makes data storage and processing: sustainable, efficient, real time, offline, and secure. We believe Edge Computing is the future of computing, and we aren’t the only ones.


Why ObjectBox rocks

* A fast database = business value, save expense and time
* Our solutions are super-fast. Seriously. Benchmark us (please)
* We support all kinds of devices and platforms (details)
* We’re pretty fun to work with ?
Reach out and let’s collaborate.

In Depth: Automotive Edge Computing Case Studies

Electric Vehicles (EV) are on the rise – but market adoption is dependent on available, easy to use charging infrustucture. In this article, we explore how edge computing enables offline functionality, and smart energy load management in EV chargers.

The use of Edge Computing is a perfect fit for modern infrastructure projects. In the context of car tolling, speed, reliable data storage and synchronization are indispensable, resulting in ObjectBox being an effective solution for today’s and future technological advancements.

Get in touch to have ObjectBox empower

your Automotive project.

By submitting this form, I am agreeing to ObjectBox’ privacy policies.

Contact us 

Questions? Ready to plan your next IoT edge project? Don't hesitate and contact us.

12 + 7 =

New from our Blog

What are Time Series Database Use Cases?

Time-series databases are optimized to scale well for time-series data and more and more people are adopting them for various use cases

ObjectBox Swift 1.4 – In Relation to…

ObjectBox for Swift 1.4 makes object relations...

Edge Database Comparison: SQLite and SQLite alternatives

Note: This is an updated version of an earlier...

What Drives Edge Computing?

What drives edge computing? New use cases and the need to make use of the ever growing data masses in a sustainable and economic way.


Interested in ObjectBox for IoT?

Only fresh news, no spam ever!