What is ArcGIS Analytics for IoT?
ArcGIS Analytics for IoT is a real-time and big data processing and analysis capability for Esri's geospatial cloud. 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.
For more information on ArcGIS Analytics for IoT, visit:
What’s included with ArcGIS Analytics for IoT?
Analytics for IoT includes an app that allows authorized 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
- Map/Feature 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:
- Personnel tracking, vehicle and asset tracking, system status monitoring, weather/hazard infrastructure protection
- 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 event data
- 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
Is ArcGIS Analytics for IoT available now?
Analytics for IoT was released in February 2020, and is an additional subscription on top of your ArcGIS Online subscription.
How can I try ArcGIS Analytics for IoT?
At this release, Esri is not offering an evaluation program for Analytics for IoT. An evaluation program may be offered at a later release. Sign up at Esri.com to stay up-to-date on product and release plans.
How is ArcGIS Analytics for IoT licensed?
- Analytics for IoT is an overall capability for an organization and is not licensed by named users.
- The base Analytics for IoT subscription accommodates multiple real-time use cases, where a use case consists of multiple feeds and analytics.
- The base Analytics for IoT subscription can be augmented with additional compute or storage. Compute and storage units are purchased separately and can be purchased either as part of the initial purchase or later if it is determined they are needed.
- Customers should work with their account team for appropriate sizing.
- ArcGIS organization administrators can control who in the organization has access to Analytics for IoT capabilities by creating roles and granting privileges to create IoT items such as feeds, real-time analytics, and big data analytics.
How do I set-up ArcGIS Analytics for IoT?
There is no set-up necessary to get started using Analytics for IoT. When you purchase Analytics for IoT for your ArcGIS Online subscription, you choose a cloud region in which it will run and receive access to the application within approximately an hour.
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 on various fronts, including product capabilities and business model. At a high level, Analytics for IoT provides real-time and big data capabilities for ArcGIS Online, whereas GeoEvent Server and GeoAnalytics Server provide these capabilities for ArcGIS Enterprise.
Analytics for IoT is a solution for customers who want to migrate or have already migrated to the cloud, who want to reduce the time and/or staff devoted to real-time and big data infrastructure. It is also a solution for customers that need support for high data velocity and resiliency. GeoEvent Server is a great solution for customers that need real-time capabilities on-premises or behind a firewall, need more direct control over their infrastructure, and require custom input feeds or analytic tools.
Other differentiators include:
- Analytics for IoT has built-in high availability and disaster recovery
- Analytics for IoT is deployed automatically, taking less than one hour 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
Can I get ArcGIS Analytics for IoT with ArcGIS Enterprise?
In the first release, Analytics for IoT is being offered through ArcGIS Online. An offering for ArcGIS Enterprise is under consideration.
Where can I find ArcGIS Analytics for IoT documentation?
Please visit the documentation page.