List of LynxOS Integrations
This is a list of platforms and tools that integrate with LynxOS. This list is updated as of April 2025.
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eXtremeDB
McObject
Versatile, efficient, and adaptable data management for all.What contributes to the platform independence of eXtremeDB? It features a hybrid data storage approach, allowing for configurations that are entirely in-memory or fully persistent, as well as combinations of both, unlike many other IMDS databases. Additionally, eXtremeDB incorporates its proprietary Active Replication Fabric™, enabling not only bidirectional replication but also multi-tier replication, which can optimize data transfer across various network conditions through built-in compression techniques. Furthermore, it offers flexibility in structuring time series data by supporting both row-based and column-based formats, enhancing CPU cache efficiency. eXtremeDB can operate as either a client/server architecture or as an embedded system, providing adaptable and speedy data management solutions. With its design tailored for resource-limited, mission-critical embedded applications, eXtremeDB is utilized in over 30 million deployments globally, ranging from routers and satellites to trains and stock market operations, showcasing its versatility across diverse industries. -
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AMI Data Center Manager
AMI
Optimize data center efficiency while promoting sustainability effortlessly.The AMI® Data Center Manager (DCM) serves as a cutting-edge solution designed to enhance the effectiveness, reliability, and eco-friendliness of corporate data centers. By leveraging real-time data collection, predictive analytics, and detailed reporting, DCM enables organizations to make strategic decisions that boost energy efficiency, reduce waste, and improve resource allocation. This platform plays a crucial role in managing power distribution, monitoring thermal conditions, and evaluating overall system performance, providing valuable insights for optimizing data center operations. Additionally, it helps forecast future demands and assesses the environmental implications of the infrastructure, thereby promoting a more sustainable operational framework. With its integration of sophisticated features, DCM not only addresses current operational challenges but also supports the alignment of these functions with broader sustainability objectives. Ultimately, the adoption of DCM can lead to significant improvements in both operational efficiency and environmental stewardship in data center management.
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