Tap into the Internet of Things (IoT) to analyze and display real-time data from sensors, devices, and social media feeds. Understand and discover the hidden patterns and trends in your massive data by applying spatiotemporal analytics that utilize distributed computing. Gain situational awareness from your streaming data whether you are tracking moving assets or stationary sensors. Focus on every event that matters most to you with real-time monitoring and big data analysis so you can make the right decision, at the right time.

Ingestion

Ingest real-time data, including inputs from stationary sensors, things that move, and things that are happening.

Analysis

Process data using filters to identify event records with key values and start seeing patterns and spatial relationships.

Storage

Store data in the right location for you, whether that is your own storage, or leveraging out-of-the-box storage from ArcGIS.

Visualization

Perform on-the-fly aggregation to identify locations quickly. Control exactly how you want to display your data as it streams in.

Dissemination

Select the data you want to share and configure the output to notify stakeholders about detected patterns of interest.

Actuation

Integrate with existing Internet of Things hubs such as Azure IoT Hub.

See a demo

Learn how ArcGIS GeoEvent Server unlocks location intelligence in your real-time data.

View demo

Join the community

Join our real-time and big data community and see what fellow users are doing.

Meet the real-time community

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