Geospatial analysis delivered to your big data
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.
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.
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.
Add this cloud-native geoanalytics library to your Spark environment without learning new software or scripting languages.
Access geoanalytics and connect to your geospatial data—in a data lake, data warehouse, or in ArcGIS.
Make better-informed decisions with the essential tools and specialized algorithms you need in an all-in-one geoanalytics library.
Once your geospatial analysis is complete, write results back to a cloud or ArcGIS without disrupting your big data analysis pipeline.
Unlock collaborative spatial data science at scale with the power of cloud-native Spark. Use ArcGIS GeoAnalytics Engine with your preferred service provider to bring spatial analysis to your big data by extending Apache Spark with ready-to-use geoanalytics tools and functions.
Integrate GeoAnalytics Engine with the unified Databricks Lakehouse Platform to streamline your analytics workflows with Spark-native spatial tools and functionality. Databricks simplifies big data processing, ML, and AI to allow you to get actionable insights faster. GeoAnalytics Engine can be installed on Databricks in Azure, AWS, or Google Cloud Platform to add spatial data science and analysis capabilities to your Databricks Lakehouse.
Easily run and scale your geospatial analytics on Apache Spark with Amazon EMR. This platform allows you to rapidly process, analyze, and apply machine learning (ML) to big data using open-source frameworks. GeoAnalytics Engine seamlessly integrates with Amazon EMR to unlock spatial insights in your data lakes.
Accelerate time to spatial insights across your data warehouses and big data systems with Azure Synapse Analytics and GeoAnalytics Engine. GeoAnalytics Engine can be deployed in a Spark environment in Azure Synapse Analytics to take advantage of the limitless analytics service for data integration, enterprise data warehousing, and big data analytics.
Spatial analysis in Azure Synapse Analytics
Big data gets a spatial upgrade
Geospatial analysis in a data science workflow
Big data analytics with Amazon EMR
Discover what’s possible with spatial analytics and big data and explore how to use ArcGIS GeoAnalytics Engine.
ArcGIS GeoAnalytics Engine has flexible licensing and pricing options. We'll work with you to find the option that best suits your needs. Complete the form to connect with us and get information.
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