Listed below are frequently asked questions about ArcGIS Analytics for IoT. If you encounter an issue when working with Analytics for IoT, see Troubleshoot for recommended solutions.
What is ArcGIS Analytics for IoT?
ArcGIS Analytics for IoT is a real-time and big data processing and analysis capability of ArcGIS Online. It enables you to ingest, visualize, analyze, store, and act upon data from Internet of Things (IoT) sensors. High-velocity event data can be filtered, processed, and sent to multiple destinations, allowing you to connect to virtually any type of streaming data and automatically alert personnel when specified conditions occur. You can also design analytic models to process high-volume historical data and gain insights into patterns, trends, and anomalies.
What's included with ArcGIS Analytics for IoT?
Analytics for IoT includes an application that allows users to create:
- Feeds - real-time data ingestion and visualization
- Real-time analytics - real-time processing to identify activity of interest and take appropriate action (similar to ArcGIS GeoEvent Server)
- Big data analytics - big data processing that supports ArcGIS GeoAnalytics Server and other big data tools to identify data patterns and trends
- Feature/map layers - high-volume data visualization via on-the-fly aggregations
- Stream layers - high-velocity, live data visualization
What are some use cases for ArcGIS Analytics for IoT?
Analytics for IoT is useful for workflows dealing with observations received from IoT devices and sensors but also for other sources of real-time and big data. It provides easy ways to ingest and immediately visualize real-time information, as well as store observations over time. Analytics for IoT also enables you to build analytical processes to automate workflows and answer questions. Overall, Analytics for IoT provides many of the same capabilities and solves many of the same use cases as ArcGIS GeoEvent Server and ArcGIS GeoAnalytics Server, but provides these capabilities as-a-service on ArcGIS Online.
Use cases include:
- Connecting to IoT systems to visualize sensor observations.
- Geofencing areas of interest to detect spatial proximity of events.
- Processing high-velocity and high-volume data.
- Need to enrich and filter observations to focus on the most interesting events.
- Need for data management as-a-service when data has grown in real-time.
- Need to cut through the noise in data to identify important incidents and trends.
- Using spatial statistical analysis and machine learning tools with large datasets.
- For real-time and big data workflows, choosing cloud solutions over managing multiple-machine deployments on-premises.
How can I purchase ArcGIS Analytics for IoT?
Analytics for IoT is available for purchase to organizations with an ArcGIS Online subscription.
How do I set up ArcGIS Analytics for IoT?
There is no setup necessary to get started using Analytics for IoT. When you purchase Analytics for IoT, you choose a cloud region in which it will run and receive access to the application after 30 to 60 minutes.
As an organization administrator, once you receive access to the application, see Create roles and assign users to learn how to enable users with the necessary privileges to create real-time or big data tasks.
How can I try ArcGIS Analytics for IoT?
Trial availability of Analytics for IoT is not currently available. To stay up-to-date on product and release plans, sign up at Esri.com.
How is ArcGIS Analytics for IoT different from ArcGIS GeoEvent Server or ArcGIS GeoAnalytics Server?
ArcGIS Analytics for IoT differs from ArcGIS GeoEvent Server and ArcGIS GeoAnalytics Server in many ways, including product capabilities and business model. On a high level, GeoEvent Server and GeoAnalytics Server are on-premises software, while Analytics for IoT is a software-as-a-service (SaaS). Other differences include:
- Analytics for IoT has built-in high availability and disaster recovery.
- Analytics for IoT is deployed automatically, taking only 30-60 minutes to get access.
- Data stored by Analytics for IoT is stored in the cloud.
- Analytics for IoT is not directly extensible due to its nature as a SaaS.
- Analytics for IoT is geared towards operations and geospatial analysts as opposed to GIS administrators.
- Analytics for IoT is offered via a subscription as opposed to a software license.
How does ArcGIS Analytics for IoT work with ArcGIS Tracker?
Analytics for IoT allows you to connect to streaming or collected data sources from a variety of systems for analysis and visualization. ArcGIS Tracker is a mobile solution that allows you to capture the locations of mobile users, monitor where they are, and analyze where they've been. Analytics for IoT can be used to perform real-time or batch analysis on this data such as geofencing employee locations against work assignments, reconstructing employee tracks, and assessing coverage of operational areas. To work with data from ArcGIS Tracker, configure a feed or a data source to read from one of your organization's track views.
Can I get ArcGIS Analytics for IoT with ArcGIS Enterprise?
Analytics for IoT is currently offered through ArcGIS Online. An offering for ArcGIS Enterprise is under consideration.