Edeva
Industry
Transportation & Logistics
Use case
Edeva uses Timescale to manage real-time and historical data from their dynamic speed bump systems, which control traffic speed and improve road safety in cities by monitoring vehicle speed and reacting instantly to violations.
Impact
Improved real-time data ingestion and analysis Simplified data operations and reduced system complexity Significant cost savings through data compression Enhanced query performance for faster data access Easier scalability and developer onboarding
Migrated from
MongoDB
Website
edeva.se/Overview
Edeva provides cutting-edge traffic management solutions with their flagship product, Actibump, improving road safety in cities globally through innovative, real-time traffic control systems powered by Timescale.
Edeva is a Swedish company that specializes in innovative traffic solutions for municipalities and governments. Their flagship product, Actibump, is a dynamic speed bump that controls traffic speed in real time by reacting to vehicles’ speeds. Edeva needed a robust system to manage real-time and historical IoT data collected from traffic sensors, radar systems, and cameras, ensuring smooth data processing and storage scalability across various global projects.
Edeva faced challenges with managing vast amounts of time-series data from their road safety systems. Using MongoDB for data storage, they experienced issues with onboarding developers, costly scalability, and complex upgrades. They required a solution that could handle high-speed data ingestion while ensuring reliable, real-time data presentation and efficient long-term data storage.
With Timescale, Edeva significantly enhanced their system's performance by leveraging Timescale’s continuous aggregations and compression features. Query times dropped from 30 seconds to nearly instantaneous, and storage costs were reduced thanks to efficient data compression. Timescale’s seamless integration with PostgreSQL allowed Edeva to simplify their system architecture while maintaining scalability and ease of use for developers, resulting in smoother real-time data analysis and cost-effective long-term data management.
John Eskilsson, System Architect
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