Epicor Connected Process Control
Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.
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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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EMQX
EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency.
EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson.
Our edge-to-cloud IoT data solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities.
EMQX Enterprise: The World’s # 1 Scalable MQTT Messaging Platform
-100M concurrent MQTT connections
-1M/s messages throughput under 1ms latency
-Business-critical reliability, Up to 99.99% SLA
-Integrate IoT data seamlessly with over 40 cloud services and enterprise systems
EMQX Cloud: Fully Managed MQTT Service for IoT
- Scale as you need, pay as you go
- Flexible and rich IoT data integration up to 40+ choices
- Run in 19 regions across AWS, GCP, and Microsoft Azure
- 100% MQTT
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Wejo
Accessing comprehensive and secure connected car data from around the globe in one centralized location empowers our partners to innovate and tackle mobility challenges effectively. The landscape of travel is evolving rapidly, influenced by our hyper-connected environment and the increasing connectivity of our vehicles. Utilizing connected car data can provide essential insights that facilitate business transformation and future planning. This data is not only precise and genuine, but also remarkably advantageous for various applications. Sourced directly from vehicles actively navigating the roads, it offers unparalleled understanding of driver preferences and behaviors. By collaborating with top vehicle manufacturers, we are able to unlock the potential of this data and simplify the process of accessing it. The advantages of connected car data extend significantly to both private and public sector organizations, enabling them to identify traffic congestion areas, assess safety hazards, and understand driver behavior and trends more comprehensively. Harnessing this information can lead to improved safety measures and more efficient traffic management systems.
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