RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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TRACTIAN
Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.
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InVirtus
InVirtus technologies offers comprehensive solutions for both indoor and outdoor assets, catering to your needs for accurate localization and zone detection, whether in France or internationally. Our cutting-edge indoor geolocation system, featuring compact tags and anchors, is designed for effortless implementation and deployment through a wireless network framework. We have developed a distinctive tracker that automatically transitions from GPS mode for outdoor use to BLE mode for indoor applications. Built to endure challenging conditions, this hybrid device boasts a compact design, robust durability, and the ability to function in extreme temperatures. Our commitment to energy harvesting ensures that this tracker achieves an impressive battery life of five years with four signals transmitted daily. Additionally, it delivers continuous outdoor and indoor tracking, alongside capabilities for motion detection, temperature monitoring, and shock sensing. By integrating these advanced features, we aim to provide a versatile solution that meets the diverse needs of our clients.
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AtomBeam
There is no need to purchase hardware, alter your existing network, or deal with complex installations; just a straightforward setup of a small software library is required. By the year 2025, it is projected that a staggering 75% of all data generated by enterprises, which amounts to 90 zettabytes, will originate from Internet of Things (IoT) devices. For context, the total storage capacity of every data center globally is currently less than two zettabytes. Additionally, an alarming 98% of IoT data remains unprotected, highlighting the urgent need for enhanced security across all data. One major challenge for IoT devices is the limited battery life of sensors, with few immediate solutions available. Moreover, many users of IoT face difficulties related to the range of wireless data transmission. We believe that AtomBeam will revolutionize the IoT landscape in much the same manner that electric lighting transformed daily life. The addition of our compaction software can effectively address several critical barriers to adopting IoT technologies. With just our software, you can enhance security measures, prolong sensor battery life, and boost transmission ranges significantly. AtomBeam also presents a chance to achieve considerable savings on connectivity and cloud storage expenses, facilitating a more efficient IoT ecosystem for all users. Ultimately, the integration of our software could reshape how businesses manage their data and optimize their resources.
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