Esri has released a new product, ArcGIS GeoAnalytics Engine, which it says provides an intuitive, cloud-of-choice capability that works within existing analysis workflows without requiring additional technology or training.

According to the company, data scientists can perform spatial analysis wherever their data is stored — in a data lake, a data warehouse or ArcGIS software — saving the time and cost of moving volumes of data out of cloud environments.

The product is a comprehensive library of spatial analytics that is native to Spark, a unified analytics engine for big data and machine learning, and runs in Spark environments commonly used for big data analysis.

This includes Databricks, Amazon EMR and Dataproc, which are Spark environments available from major cloud providers such as Microsoft Azure, Amazon Web Services and Google Cloud.