Best IoT Analytics Solutions

ThingSpeak is an IoT analytics platform service that allows you to aggregate, visualize and analyze live data streams in the cloud. ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB® code in ThingSpeak you can perform online analysis and processing of the data as it comes in. ThingSpeak is often used for prototyping and proof of concept IoT systems that require analytics.

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.

AWS IoT Analytics is a fully-managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases.

Cumulocity IoT DataHub allows you to connect existing analytics tools and applications to Cumulocity IoT, such as: Business Intelligence and machine learning tools, as well as arbitrary custom applications, and much more. Enable your users to understand why certain events occur, whether these are normal, whether they are likely to happen again, and what was the end result previously, whether positive or negative.

TrendMiner software is based on a high-performance analytics engine for data captured in time series. With TrendMiner, process engineers and operators can easily search for trends and question their process data directly – without help from a data scientist.

Altair IoT Studio enhances data management with user-friendly features for asset monitoring and predictive maintenance. Users appreciate its robust analytics. Room for improvement includes expanded device compatibility and more advanced reporting tools.

SAS Analytics for IoT enables all types of users to transform data into intelligence with an extensible, sensor-based data model and an intuitive, visual interface built on SAS Viya that streamlines ETL tasks.

The IoT Analytics Platform module focuses on delivering measurable business value, using intelligent big data processing and real-time data analytics for M2M/IoT business purposes. It provides thorough information about the way in which customers are using your IoT products. Additionally, it handles some issues related to quality of service (QoS) within operations, by helping discover which device (or type of device) generates issues, revealing data patterns and trends, and providing reports and analyses of anomalies. Device/IMSI (International Mobile Subscriber Identity) or customer profile dashboards enable deep data drill down. You can also use the supporting functions such as alarms and notifications internally, to improve your business and operational results and enhance customer experience using this solution, which enables you to truly unlock the potential of IoT (Internet of Things) analytics data for telecom organizations