Best Free IoT Analytics Software

Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency. Cloud IoT Core, using Cloud Pub/Sub underneath, can aggregate dispersed device data into a single global system that integrates seamlessly with Google Cloud data analytics services. Use your IoT data stream for advanced analytics, visualizations, machine learning, and more to help improve operational efficiency, anticipate problems, and build rich models that better describe and optimize your business. Securely connect a few or millions of your globally dispersed devices through protocol endpoints that use automatic load balancing and horizontal scaling to ensure smooth data ingestion under any condition.

SensorCloud is a unique sensor data storage, visualization and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis. SensorCloud's core features include FastGraph, MathEngine®, LiveConnect, and the OpenData API. SensorCloud allows you to easily create dashboards to visualize all of your data. Dashboards can be as simple as a single Timeseries Graph widget, or advanced with Radial Gauges, Text Charts, Linear Gauges, FFTs, Statistics, etc. Since SensorCloud allows you to upload as much data as you want, and LORD's sensors can sample at very high rates, it was important to be able to quickly visualize massive amounts of data. We struggled to find any application that could handle even a few gigabytes of data, so we started from the ground up with our own unique algorithm.

Whatever industry you work in, the GroveStreams Data Analytics Platform can provide you with the building blocks and tools you need to create solutions tailored to your customers' needs. Visit our Developers page for a list of examples. Model time-of-use block rates for multiple locations. Precisely monitor energy usage across thousands of meters/sub-meters for apartment-level energy billing. Alert when energy usage exceeds predetermined levels and take action to reduce energy usage. Monitor water flow in remote or hard to access locations (apartments) to check for costly leakages or excess flow. Monitor propane tank levels for rural and route shipments accordingly. The Grove Streams Data Analytics Platform is a cutting-edge cloud-based service providing decision making capabilities to many users and devices as data arrives from many sources.

Skysens IoT platform is an application layer with middleware specialized for IoT applications. The platform can work with multiple IoT sources either IP-based or non-IP based such as LPWAN with multiple features such as user management, alarming, reporting, rule management, and many more. With Skysens middleware, the platform can work with existing legacy data sources such as SCADA will full functionality. It has different application modules for smart industry, smart cities, and smart businesses for easy use. Different pre-configured applications such as condition monitoring, indoor and outdoor location tracking, maintenance monitoring, and many more. Device ID-based cross rule function in order to create smart actions depending on the rules with help of bi-directional connectivity of LPWAN networks. API server for connectivity agnostic LPWAN-based application integration with REST APIs. Skysens Mobile app is ready for use on Android and iOS.

A fully managed, cloud-hosted service with capabilities for device registration, connectivity, control, rapid visualization and data storage. From chip to app to cloud, take full advantage of cognitive Watson APIs, visual dashboards, rich developer resources and industry-leading security to accelerate enterprise IoT insight. Predictive real-time and edge analysis of user, machine and environmental data that leverages machine learning and cognitive APIs. Govern applications and devices within an IoT ecosystem: usage and performance patterns, anomaly detection, data and transaction validation. Connect IoT devices, networks and gateways through a growing ecosystem that uses open standards-based communications like MQTT and HTTPS. Identify, aggregate and transform data from your IoT sources into asset-based data structures. Use your IoT data to understand current conditions and trends, comprehend unstructured data from videos and images, and extract unstructured textual data for insights.