{"slug":"safegraph-optimizes-geospatial-data-processing-with-databricks-and-delta-sharing","url":"https://findausecase.com/use-cases/safegraph-optimizes-geospatial-data-processing-with-databricks-and-delta-sharing","title":"SafeGraph optimizes geospatial data processing with Databricks and Delta Sharing","description":"SafeGraph used the Databricks Data + AI Platform, Delta Lake, Delta Sharing and MLflow to process petabytes of geospatial data and feed predictive models, achieving 2x-10x faster spatial querying, indexing and partitioning and a 50% reduction in peak memory consumption compared to other platforms, while reducing data access time for partners from months to minutes via Delta Sharing.","company":"SafeGraph","industry":"Technology & Software","aiCapabilities":["Machine Learning","Predictive Analytics"],"technology":["Databricks Data + AI Platform","Delta Lake","Delta Sharing","MLflow","AWS Redshift","EKS Kubernetes","Elasticsearch"],"deployment":"Public Cloud","problemStatement":"Working with petabytes of historical geospatial data, SafeGraph's lean team of engineers was challenged with massive volumes of data and incomplete data sets; processing high volumes of information while accurately analyzing the nuances of each data set was time-consuming and resource-intensive, and the team found that cloud storage was not an ideal place to write or manage such massive data sets.","solutionApproach":"SafeGraph built its analytics system on the Databricks Data + AI Platform, using Delta Lake as the foundation to unify data sets and build scalable data pipelines feeding analytics and machine learning models, Delta Sharing to securely exchange large data sets with customers and partners, and MLflow for predictive model deployment, monitoring and performance tracking, alongside AWS Redshift, EKS Kubernetes, and Elasticsearch.","businessValue":"SafeGraph achieved 2x-10x faster spatial querying, indexing and partitioning, and a 50% reduction in peak memory consumption compared to other platforms; adopting Delta Sharing also reduced data-exchange access time from months to minutes for customers and partners.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/safegraph","dates":{"publishedAt":"2026-09-29T05:46:34.292Z","publishedAtSource":"pipeline","updatedAt":"2026-09-29T05:46:34.292Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/safegraph-optimizes-geospatial-data-processing-with-databricks-and-delta-sharing. Bulk republication requires permission."}