ArcGIS GeoAnalytics Engine

Geospatial analysis delivered to your big data

Experience efficient data fluidity with a library that moves geoanalytics directly to your data. Perform geospatial analysis wherever your data lives—in a data lake, data warehouse, or ArcGIS. Use Apache Spark to access over 120 cloud-native geoanalytics tools and functions so you can understand trends, patterns, and correlations up to 100x faster compared to leading open-source options.

What can you do with ArcGIS GeoAnalytics Engine?

Simple to complex analysis
Get spatial insights faster
Integrate seamlessly

Simple to complex analysis

Go beyond basic spatial analysis with immediate access to advanced statistical tools and specialized geoanalytics functions. Get the diverse perspectives you need to make better-informed decisions with big spatial data. Find hot spots and point clusters, perform geographically weighted regressions, detect incidents, find dwell locations, reconstruct tracks, trace proximity events, calculate motion statistics, and more.

Image showing plot of a data frame of the city of Chicago with color coded zip codes.

Get spatial insights faster

Get from raw data to valuable insights faster by reducing processing steps and geospatial analysis time. Eliminate time-consuming, manual spatial indexing and start analyzing raw geospatial data immediately by leveraging the power of Spark. Save time and effort by using tested, proven spatial algorithms that are built for efficiency and accuracy.

Abstract image in blue and purple and black datapoints showing the number of urban trees aggregated into hexbins

Integrate seamlessly with big data workflows

Easily add geospatial analysis to your big data pipeline. Now, all the geoanalytics you need are in a single, cloud-native library that blends seamlessly with open-source packages for a smooth workflow. Easily analyze and extract value from your big spatial data and spend less time learning new software, GUIs, and scripting languages.

Diagram showing how users can access cloud data and run spatial analytics in your Spark environment using Python

How it works

A computer monitor showing text and numerical data representing an Amazon EMR notebook attached to a Spark cluster

Configure

Add this cloud-native geoanalytics library to your Spark environment without learning new software or scripting languages.

Access and connect

Access geoanalytics and connect to your geospatial data—in a data lake, data warehouse, or in ArcGIS.

Analyze

Make better-informed decisions with the essential tools and specialized algorithms you need in an all-in-one geoanalytics library.

Publish

Once your geospatial analysis is complete, write results back to a cloud or ArcGIS without disrupting your big data analysis pipeline.

Resources and documentation

Discover what’s possible with spatial analytics and big data and explore how to use ArcGIS GeoAnalytics Engine.