Analyze real-time and big data
ArcGIS Velocity is a cloud-native add-on capability for ArcGIS Online. It enables users to ingest data from the Internet of Things (IoT) platforms, message brokers, or third-party APIs. It also helps users process, visualize, and analyze real-time data feeds; store those feeds as big data; and perform fast queries and analysis. Use this software as a service (SaaS) IoT application to better leverage your real-time spatial data for essential operational decisions such as remote monitoring of assets, predictive maintenance, and process optimization.
Discover how ArcGIS Velocity makes it easier to consume, visualize, and analyze streaming data in real time.
Ingest data from connected devices by configuring a feed that can be used as a live map layer. Integrate real-time data with historical data via stream and feature layers to analyze change over time. The highly scalable Kubernetes-based architecture of ArcGIS Velocity enables the processing of massive volumes of spatial data at very high speeds.
Get precise locations and insights on all of your assets for 24/7 visibility. Track dynamic assets that are constantly changing location, such as vehicles, aircraft, vessels, and stationary assets, such as weather and environmental monitoring sensors.
Make informed decisions with IoT spatial intelligence analysis. Access a range of powerful real-time and big data tools to analyze information from a variety of data feeds and sources. Identify spatial relationships between features using dynamic geofencing. Leverage a visual analytic model builder to design complex analysis and automate workflows, saving time and effort.
Results from analytics, whether performed in real time or batch mode, can be pushed as alerts, which puts time-sensitive information in the hands of personnel. Display and share your findings with others in your organization with the help of operational dashboards. Gain operational, tactical, and strategic efficiencies that save time and money.
Get started quickly with no configuration with a SaaS model. Take advantage of distributed computing. Get real-time and big data capabilities as a service and perform analytics at a massive scale.
Connect to real-time, streaming IoT data from multiple feeds and visualize directly in maps.
Speed up your analysis and get answers faster when you set up analytical models in the cloud.
Take action with your analyses. Share the results and alert stakeholders when it matters.
Case study
ArcGIS Velocity enables the Massachusetts Department of Transportation (DOT) to analyze live traffic incident data feeds for improved decision-making.
CASE STUDY
Minneapolis Park and Recreation Board uses ArcGIS Velocity with winter weather solutions to manage snowplow activities for their public park system.
CASE STUDY
Staff can view real-time data on traffic, weather, and road incidents using an operational system developed with ArcGIS Velocity.
CASE STUDY
Discover how Orange County (OC) Public Works set out to monitor and regulate waste stockpile temperatures in real time to eliminate fire hazards.
CASE STUDY
The immediate benefit of Velocity was made evident by enabling the consolidation of the city's legacy public safety systems to provide real-time data and situational awareness to our officers.
Chris Himes
Assistant City Manager, City of Manassas Park
Case study
Learn how the Snow Mappy app uses real-time tracking to deliver data and analytics directly to ski resorts for data-based decision-making.
ArcGIS Velocity is closely integrated with ArcGIS. Getting started is easy—secure a license and access it within ArcGIS Online. Easily connect to and fuse your ArcGIS data with data from other sources. Push results of analytics, whether performed in real time or batch mode, as alerts, or publish them as GIS maps and data services for use across your enterprise. These maps and data layers can be used by any ArcGIS application such as ArcGIS Pro or ArcGIS Insights for additional analysis.
VIDEO
Learn how to connect to virtually any type of streaming data, perform real-time analytics and processing, and automatically disseminate information and alert personnel when specified conditions occur.
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