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IoTstar 2025-RC200 – IoTstar 2025 IoT Cloud Management Software (Max. 200 controllers can be connected)
£1,299.00
Key Features
- IoT Cloud Management Software (Max. 500 controllers can be connected)
- No more programming! Using Browsers to perform Remote Maintenance on WISE/PMC/PMD controllers
- Integrated with VM (Virtual Machine) of the Public Cloud platform such as: Microsoft Azure, IBM Bluemix or Amazon AWS
- Integrated with Windows system (Windows 7/8/10, Windows Server)
- Enables the remote maintenance and firmware update on the WISE/PMC/PMD controllers
- Collect the Historical and Real-Time sensor data (and Power data)
- User can review the sensor data (and Power data) directly by the built-in IoTstar Web page interface.
- The users can quickly setup the Data pool for their IoT system
Description
IoTstar 2025 is the latest version of ICP DAS’s IoT cloud management software. It integrates the original IoTstar software and service packages (Dashboard Service, Report Service, Bot Service, etc.) into a single product, streamlining IoTstar’s purchasing and installation process while making the system more intuitive and convenient to use. In addition to retaining all features and service packages from the previous version, IoTstar 2025 introduces several new user-centric functions and significantly enhances the overall user experience.
IoTstar 2025 can be installed on private PCs or VM (Virtual Machine) systems hosted on cloud platforms such as Microsoft Azure, IBM Bluemix, Amazon AWS and Google Cloud. This enables users to quickly establish their own IoT cloud monitoring systems. With IoTstar 2025, users can create IoT cloud systems that deliver the following services:
During the development of an IoT cloud system, no programming is required, system configuration can be completed through a web interface. Additionally, with SQL commands, IoTstar 2025 seamlessly integrates with cloud platforms and data analysis tools (such as Power BI, Google Data Studio, or SCADA systems), enabling users to efficiently build “IoT + Big Data” cloud applications. This significantly reduces both the time and cost associated with implementing “IoT + Big Data” cloud solutions.