Whether your data is at the edge, in motion or at rest, make fast, confident decisions – while reducing data transport and storage costs. SAS Analytics for IoT covers the full IoT analytics life cycle – from data capture and integration to analytics and deployment.
Focus on what matters.
Our proven event stream processing engine can handle huge volumes of data at very high rates (e.g., millions per second), with extremely low latency (in milliseconds). This enables real-time data management on IoT data to make it analytics-ready. Intelligent filtering separates what's relevant from all the noise so you’ll know what data to store and what you can ignore.
Understand the signals in your data.
Get the most out of IoT data by mining and analyzing it where it lives – edge devices, data centers or the cloud. And detect patterns of interest as events occur. With SAS Analytics for IoT, you can integrate, transform, visualize and analyze IoT data throughout the connected ecosystem. Then close the IoT analytics loop by running big data analytics on data at rest.
Act quickly. Decisively. Confidently.
You can continuously assess streaming data close to its origination, transforming and analyzing it in real time. SAS decision management capabilities then drive real-time action – from simple alerts to complex, automated responses. SAS Analytics for IoT supports data integration, visualization and analytics at the edge, as well as big data analytics on data at rest in the storage platform of your choice.
- Support for the IoT analytics life cycle. Supports analytics throughout the IoT infrastructure – from the central hub, data center or cloud all the way to the edge, and at any point in between.
- Comprehensive analytics capabilities built on proven data management techniques. We develop and continuously improve on the latest techniques to find those best suited for high-frequency and streaming data. And our industry-leading data management capabilities can take IoT data – generated anywhere – and make it analytics-ready.
- Proven event stream processing. Built on SAS Event Stream Processing, which analyzes data in motion by processing huge volumes at very high rates – with extremely low latency.
- Flexibility to run on a range of hardware, or in the cloud. Runs on a wide variety of platforms, including low-cost commodity hardware. It can exploit big data appliances and run in the cloud. SAS also works with many communication and hardware vendors to support embedded analytics in their edge devices – especially IoT gateways.
Learn why IDC MarketScape calls SAS a "Major Player" in smart city analytics.