Access to Car Data

Store and sync connected car data onboard / offboard – with minimal resource-use & latency

Automotive Data Solution

Connected cars need an Edge

The current mobility landscape is shifting towards a data-enabled, driverless system: The number of connected cars will grow to about 100M globally by 2025, and car data itself is projected to hold a value of $750 billion by 2030.

Today, some connected cars produce already over 25,000 MB of data every hour. Experts expect these connected car data volumes to grow to 100 petabytes per month in the future. Obviously, this data should not and cannot all be sent to the cloud. Edge Computing, enabled by next-gen database ObjectBox, will be critical to curb high cloud costs, improve user experiences, ensure safe, real-time response rates, and protect personal data while complying with increasing regulatory standards.

The trends that challenge the Automotive industry today


Increasing Data Volumes

Vehicle data volumes are growing by factor of seven for every new vehicle generation


Cloud Costs and Dependency

Reduction of MNO rates can‘t compensate for the increasing Networking and Cloud Costs

cloud Edge In Vehicle Data

In-Vehicle Data Demand

Demand for in-vehicle (edge-computing) data processing and high-speed data processing

Legacy Systems and broken tech stacks

Legacy Patchwork Systems

Breaks in tech stack / legacy code / custom solutions require additional effort

Flexible Data Access

Need for Flexible Data Access

Need for dynamic access to data everywhere (e.g. central analytics)

VSS data structure standard

Support of New Data Standards

New data standards (like VSS) need to be supported for faster time-to-market

The Database for Connected Cars

Ensure Offline-capability and Reliability

Whenever you are driving, at some point you will not have an internet connection – for example, while on the move, in underground garages, or remote areas. Therefore, automotive use cases like Connected Cars require offline-first capabilities. 

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 should belong 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

Edge Computing has many benefits, however many use cases need access to part of the data set at a central point, accessible via on premise server or in the cloud. With ObjectBox Sync, you choose which data is synchronized and when; this keeps mobile networking and cloud costs affordable 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

Data created and stored in vehicles is inherently on the “edge”. There are countless use cases for this data – from monitoring tire pressure to tracking driver behavior, there are thousands of real time data points which can be captured in cars, on the edge, to make cars smarter, safer, and more efficient. With ObjectBox, developers get fast and easy access to onboard / offboard car data, so they can build advanced vehicle applications.


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 Connected Car Database and Data Sync for resource-restricted embedded devices dealing with high data volumes. Single-digit CPU use, ACID compliant, <1MB footprint, superfast (see open source benchmarks).


data sync

ObjectBox syncs data between devices, e.g. ECUs, onboard and offboard, providing reliable access to car data when needed where needed. It’s super resource-efficient (CPU, Memory, energy, …), reducing cloud costs


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 infrastructure. Read to explore how edge computing enables offline functionality, and smart energy load management in EV chargers.

Edge Computing delivers fast access to data on the edge, empowering modern infrastructure projects. In the context of car tolling, data speed, reliability and easy access are indispensable.

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