Build Deliver Planetary-Scale Intelligence Solutions Faster Build and scale pipelines to analyze the physical world. TRY WHEROBOTS Complete spatial data platform Integrated vector, raster and tabular data processing to deliver any location intelligence data pipeline. Developer flexibility Choose from Python, SQL, Java or Scala to accelerate time to insight. Performance at scale Up to 20x faster geospatial data operations than traditional big data engines. The Complete Earth Data Platform Realize the full potential of your spatial data with a product designed to fit into your data team’s quiver. Notebooks SQL API Typescript SDK Job Runs Serverless Compute and AI Innovate faster than ever Data teams are enabled to build new solutions faster and more efficiently than ever before with spatial data. Easily join and transform vector, raster, and structured data in one solution purpose built for it. Raster+Vector ETL & Joins Planetary scale Contact Us to Learn More Spatial functions included Over 300+ vector and raster functions built-in to ship next generation products. Including advanced functions to identify clusters and hot spots in your spatial data using DBSCAN, Getis-Ord Gi*, and Local Outlier Factor. DBSCAN Getis-Ord Gi* LOF 300+ fns Learn More Start from real-world solutions Built-in solutions and code for real-world use cases across major industries. Start from a proven notebook and tailor it to your data. Browse Notebooks Support for leading development tools Build solutions in the languages and developer experiences your teams already use. Python SQL Spark Learn More Open source compatible Lift and shift existing Apache Spark and Sedona based applications into Wherobots with zero code changes. Spark API Sedona API GeoPandas API Learn More Bring innovations to production Automate your solutions as job runs, orchestrated by Airflow. Airflow Scheduling Learn more FAQ How does Wherobots accelerate my spatial data workflows? Wherobots is a a high-performance, cloud-native spatial intelligence engine (WherobotsDB) optimized for geospatial data (vector and raster). By utilizing an efficient implementation of Apache Sedona, it allows developers to process massive, planetary-scale datasets 5x to 20x faster and at a fraction of the cost of general-purpose cloud engines. What languages and developer frameworks are supported in Wherobots? Wherobots supports the most common data and spatial development interfaces. You can develop using: Spatial SQL Python Scala Java The platform offers a seamless development experience through familiar Jupyter notebooks and integrates with existing data workflows through REST APIs, client SDKs (e.g., Python driver, Java JDBC driver), and an Apache Airflow provider for pipeline orchestration. Which spatial functions are supported in Wherobots? Wherobots has built-in support for over 300 spatial functions, including standard ST_ and RS_ functions for geometry processing, spatial predicates, and large-scale joins. In addition, Wherobots supports a wide range of advanced spatial functions for scalable analytics, including: Spatial joins (point-in-polygon, polygon-to-polygon) kNN join for nearest neighbor queries Zonal statistics on raster layers Travel isochrones to define travel areas within a specified time GPS map matching for real-time mobility data Raster inference with deployed AI models PMtiles generation for fast map visualization Get started Modernize your spatial data in the lakehouse today. request demo try wherobots now
