ThingSpeak Reviews

The data generated by IoT devices is predominantly unstructured, presenting challenges for traditional analytics and business intelligence tools that are primarily created to handle structured data. These devices often capture data from various noisy processes, including temperature, motion, and sound, which can lead to frequent issues such as significant data gaps, corrupted messages, and inaccurate readings that necessitate thorough cleaning before any meaningful analysis can take place. Additionally, the significance of IoT data often depends on integrating it with external third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings by incorporating rainfall data, enabling farmers to optimize water usage and enhance their crop yields effectively. To ease the analysis of IoT device data, AWS IoT Analytics streamlines each complex step involved in the process. This service is fully managed and operates on a pay-as-you-go model, ensuring it can scale seamlessly to meet varying demands while simplifying the overall data analysis workflow. By leveraging such automated services, businesses can unlock valuable insights from their IoT data more efficiently.

An intermediateware that is installed on a variety of gateways. It connects equipment to InfiIoT, popular Internet of Things (IoT), or Industrial Internet of Things. It secures connections to various devices (e.g. PV panels, battery storage, HVACs and compressors) via industrial protocols (Modbus and OPC UA as well as cellular networks (5G and 5G). InfiConnector can be configured from cloud services to collect data and prepare data for data analysis or Artificial Intelligence (AI), cloud applications. InfiConnector is a code-less edge computing interface and rule engine interface. It configures any machine to computer, diagnostic, alerting and log management services within a matter of minutes. The light middleware needs 512MB RAM, 1 core CPU and 16GB disk. It is compatible with Ubuntu 20.04 or higher.