IoT analytics software allows businesses to analyze and visualize sensor data from internet-connected devices. IoT analytics tools are used to understand the continuous stream of structured, unstructured, and time series data produced by connected devices, so that businesses can understand historical data and predict future outcomes. Companies may utilize IoT analytics solutions to track the performance of machinery, provide predictive maintenance recommendations, and better understand unique data related to their devices such as temperature, motion, and sound. Data analysts can use IoT analytics software to prepare, filter, transform, and drill into sensor data, the same way they would analyze structured data with a business intelligence platform.
To qualify for inclusion in the IoT Analytics category, a product must:
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Visual KPI from Transpara is real-time operations monitoring software. It provides a single view across all of your data sources without moving anything or embarking on a huge project. It supports thousands of industrial (historians, IIoT), business and external data sources and delivers stunning visualizations, KPIs, dashboards, analytics and alerts to any device.
Smarter. Faster. Integrable There’s only one IoT platform that can take any digitalized system and develop a smarter, faster and integrable application for all your IoT needs. Axonize has developed a disruptive, multi-app architecture that enables the deployment of fully customized solutions across all applications, verticals and device types, while cutting down application development time from the typical 6-18 months to merely 6-8 days. Here are some of the benefits: • ROI. One solution orchestrates all aspects of your IoT project to help optimize costs and uncover new revenue opportunities. • Security: Axonize is a layer on top of the Azure IoT hub, so we rely fully on Azure’s first-class security. • Zero development: Develop your solution based on configuration, instead of development, so you use minimal engineering resources. • Integrable: Integrate all systems, software and sensors into a single IoT platform. • Scalable: Scale your project in any direction by connecting as many apps and devices as you need. Start small and scale fast.
Datonis is an IoT software platform that connect any "Thing" to the cloud to have operational dashboards, condition based monitoring (CBM), predictive analytics to help drive valuable consumer insights across manufacturing industries, work sites, cities, homes, offices, agriculture and retail environments.
IoT Connectivity Management (formerly Comarch M2M Platform) helps with the implementation of IoT service provider business strategies and enables mobile operators to provide managed connectivity in multi-national, multi-level and multi-operator environments.
IoTSTREAM.IO provides end to end modular solutions for internet of things projects.
Kaa Enterprise IoT Platform is an end-to-end platform for enterprise-grade IoT, Kaa brings you up to speed with a broad stack of modern IoT technologies and, at the same time, gives you flexibility to adapt it all to your specific business domain. Kaa Enterprise is applicable for any scale of enterprise IoT development. It provides a range of features that allow building advanced applications for smart products, flexibly managing device ecosystems, orchestrating end-to-end data processing etc.
Great Bay Software is an IoT security and operational efficiency leader providing comprehensive visibility and control over endpoints on the network so organizations can secure data, preserve customer trust and protect revenue. By delivering real-time insights into device identity, location and behavior, Great Bay helps organizations identify and respond to potential threats and improve operational efficiency, all while supporting millions of connected devices. For more information, visit: https//www.greatbaysoftware.com.
Opisense is an Data Management Platform for Energy & Environmental actors. Opisense centralises energy and environmental data on a secured Cloud-based solution and is built to collect data from various sources, from metering information to contextual data sets (weather, building usage, energy prices,...), and to make sure data is qualitative. Our solution provides numerous functionalities to capitalize on data; from simple dashboarding to complex calculations.
RoboMQ is a leading-edge, end-to-end SaaS and Internet of Things (IoT) middleware platform that can connect any device to any system, application or cloud through its suite of connectors and adapters, over any standard protocol. It is a middleware with no protocol of its own but supports all protocols and cross conversion among them. It has an IoT Gateway that allows devices and device mesh networks to connect to the cloud over cellular or wired connectivity. SaaS and Enterprise Application Integration (EAI) allows integrating diverse applications over desperate protocols and integration mechanisms.