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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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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Fortifyedge IoT Platform
Enhancing Cyber-Physical security through the integration of Sensor Fusion and Analytics is essential for maintaining oversight of critical infrastructure. Fortifyedge significantly bolsters the situational awareness of vital assets, encompassing both fixed and remote components, by monitoring perimeters, managing waste, and optimizing utility usage. By leveraging advanced sensor fusion and analytical techniques from various elements within your ecosystem, Fortifyedge enables a comprehensive understanding of your security landscape. Our IoT edge computing and cutting-edge tiny machine learning algorithms are adept at identifying anomalies, regardless of the location of your assets. Recognized as a USAF AFWERX SBIR Awardee and a proud alumnus of the USAF TechStars Accelerator, Fortifyedge has received multiple accolades for excellence in Cyber and Physical security tailored for defense and critical infrastructure, as well as for NIST Behavioral Authentication aimed at first responders. The Fortifyedge IoT Platform is designed to safeguard your critical infrastructure while enhancing the situational awareness of personnel during incidents. Furthermore, it facilitates the positive identification of individuals at entry control points, allowing for effective tracking of personnel within secure zones, ensuring a safer and more efficient operational environment.
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