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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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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Lumada IIoT
Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.
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Reekoh
Utilize a single platform to ensure that your asset, operational, and business data can seamlessly interact. We enable organizations across diverse sectors to simplify processes, eliminate obstacles, and enhance the speed of value realization through integrated solutions that effectively merge Physical (IoT/IIoT/OT) and Application (IT) data. With our platform, you can securely handle the ingestion of OT, IoT, IIoT, and business application data from a variety of disconnected systems, protocols, networks, and formats. Moreover, you can enrich contextual information, manage metadata, conduct transformations, and employ data mapping to work with standardized data models and schemas. This integration allows for the flow of data to various endpoints, supporting application and process logic, storage, data analysis, and both physical and digital automation efforts. Reekoh Accelerate™ stands out as a hybrid integration platform that treats data from both physical and digital assets with utmost importance. It equips users with a robust and flexible toolset for managing devices and data, as well as streamlining business workflows and automation processes to drive efficiency. By leveraging these capabilities, organizations can unlock the full potential of their data assets.
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