Greptime provides an innovative edge-cloud data solution specifically designed for the automotive industry to address challenages brought by the exponential growth of data generated in smart vehicles over the past decade.
Trusted by leading electric vehicle manufacturers in China, our solution reduces data transfer, storage, and compute costs, enables in-vehicle edge computing, and empowers manufacturers to fully leverage their connected car data.
A New Era of Mobility: Possibilities and Data Challenges
The mobility sector is evolving rapidly, propelled by technology that delivers seamless, personalized experiences through advanced connectivity, real-time analytics, and automation. Today’s cars are no longer hardware-focused machines but evolving into software-driven networks that respond instantly to data, adapting to individual user needs for safety, efficiency, and convenience.
With the exponential growth of in-vehicle data, new applications emerge: this data can fuel large AI models, enabling vector search and complex computations that refine everything from navigation to predictive maintenance.
Trends in Vehicle Data (2020-2030)
By 2030, it's predicted that 95% of vehicles worldwide will be connected, generating over 500 GB of data per hour. This data surge poses significant challenges. Current solutions struggle with the scale, speed, and complexity of vehicle data. Traditional solutions face limitations in data latency and storage, unable to meet the demands for real-time in-vehical data processing.
Why Edge-Cloud Data Solutions Are Essential for the Automotive Industry
As automotive data demands grow, traditional databases struggle with high latency, bandwidth limits, and data privacy concerns. For privacy, data is ideally processed within the vehicle, but conventional systems require data uploads to central databases for processing. To address these issues, innovative edge-cloud architectures are essential for efficient data management.
Nevertheless, processing data solely in the cloud requires extensive transmission, creating bottlenecks and increasing operational costs. For time-sensitive applications, like autonomous driving, this delay can impact safety and responsiveness.
An integrated edge-cloud solution addresses these issues by enabling real-time data processing closer to the data source. Edge computing reduces latency and transmission costs, while cloud storage allows for in-depth analysis and scalability, effectively balancing immediate processing needs with long-term data management.
Solution Architecture
The core benefit of this solution is the seamless integration of edge computing with cloud computing, which is enabled by our innovative distributed architecture.
Vehicle-Cloud Solution Architecture
GreptimeDB Edge:
- A mass-produced in-vehicle database designed for automotive use, optimized to run efficiently on limited in-vehicle resources.
- Enables on-vehicle storage and processing for in-car data calculations and aggregations.
- A multi model database that supports metrics, logs and vectors (for AI applications).
GreptimeDB Enterprise:
A cloud-native distributed time-series database with SQL analysis, compatible with MySQL/PostgreSQL protocols and monitoring tools, offering elastic scalability and lower storage costs.
GreptimeDB Edge Manager:
The Vehicle-Cloud Collaborative Control Platform manages and monitors in-vehicle devices, data models, and quality, making the end-to-end operational management easy and efficient.
How Our Solution Helps Leading Vehicle Manufacturers Save Tens of Millions Dollars
Our solution has been successfully implemented by a leading new energy vehicle enterprise. The customer has stringent requirements for time-series data processing, demanding precision from seconds to milliseconds. With data volume doubling annually, the customer faces rising costs for data traffic and storage of vehicle time-series data. Managing and utilizing this data also demands substantial development effort, underscoring the need for an efficient time-series data management solution.
Data Optimization Result
After a thorough six-month process of comparing, testing, and validating various solutions, the customer selected our edge-cloud data solution. Today, GreptimeDB Edge, the integrated in-vehicle multi-model database, operates stably across millions of mass-produced vehicles. Meanwhile, GreptimeDB Cloud seamlessly integrates into the customer’s internal data stack, efficiently handling all time-series data and enabling on-demand business insights on a daily basis.
Summary
Greptime’s edge-cloud data solution is purpose-built to handle the automotive industry’s data challenges. By combining real-time in-vehicle processing and scalable cloud storage, it balances the need for instant decision-making with efficient long-term data management, cutting transfer and storage costs and unlocking deeper insights for manufacturers.
To learn more how Greptime’s solution can support your connected car data needs, you can visit our website and download our white paper for detailed info. You are also welcomed to requrst a demo here.
About Digital Revolution In Connected Cars 2025
The Digital Revolution in Connected Cars in Munich, Germany on 06-07 May 2025 is dedicated to the entire Connected Car community including policymakers, business leaders, leading OEMs, Car Manufacturing companies, investors and all Connected Cars enthusiasts to gain invaluable industry insights, exchange critical business knowledge and engage in constructive discussions across 2 days of the event.
The conference will provide a perfect platform for both businesses & governments to unveil their sustainability initiatives & schemes, exchange hands-on knowledge about the latest plans and answer all the intricate questions from the most-relevant audience in a highly collaborative business setting.