Company and use case

Everactive is a pioneer in creating self-powered IoT solutions that provide continuous, real-time monitoring without the need for batteries or external power sources. Their technology is particularly valuable in industrial settings, where their self-powered sensors and analytics platform help monitor equipment health, environmental conditions, and other critical parameters. By harnessing the energy from their environment, Everactive’s sensors operate indefinitely, providing a sustainable and maintenance-free solution for industrial IoT applications.

Performance problems to solve

Before adopting Timescale, Everactive faced significant challenges with their data infrastructure. They needed to handle large volumes of time-series data generated by their self-powered sensors, which required robust and scalable storage and processing capabilities. Traditional databases struggled with the high write and query loads, leading to performance bottlenecks and increased latency. Additionally, maintaining and managing the data retention policies manually was cumbersome and prone to errors, further complicating their operations.

Performance gains unlocked

Timescale’s powerful time-series capabilities transformed Everactive’s data management and processing. With Timescale, Everactive achieved seamless data ingestion and real-time analytics, handling the high-frequency data from their sensors efficiently. The automatic partitioning and compression features significantly reduced storage costs and improved query performance. Continuous aggregates and hyperfunctions eliminated the need for manual scripting and maintenance, ensuring data integrity and reducing the risk of errors. As a result, Everactive could scale their operations effortlessly, providing reliable and timely insights to their industrial customers.