The AI Context Engine for the Physical World SELECT * FROM planet oceans climate_events maritime_movement fleet_vehicles electric_grid wildfire_risk Ground your AI in the physical world. Build geospatial analytics at planetary scale, using the SQL and Python you already know. Start building free What is Wherobots? Trusted by teams building AI on physical-world data Use cases for spatial data engineering Planetary Scale analytics Spatial joins Perform spatial joins on millions of records for less than 50¢ DO IT NOW GPS Map Matching at Scale Turn raw GPS traces into road-matched routes. Millions of points, no API calls. DO IT NOW Detect Airplanes from Satellite Imagery with AI Run satellite imagery analysis at any scale. Detect objects across geographies with RasterFlow DO IT NOW Wherobots is lakehouse ready for AWS and Databricks Unity Catalog Get started on Databricks Get started on AWS Apache Sedona Apache Parquet Apache Iceberg PyTorch Spatial analytics, satellite imagery AI, and lakehouse compute. One platform Up to 20x better performance, unlimited scale, at 1/n the cost Wherobots runs faster at a lower cost with higher scale than other engines for processing physical world data Learn More Join Vector, Raster & Structured Data Seamlessly Build a complete picture over space and time from every aspect Learn More AI for Satellite & Drone Imagery Extract insights from imagery using pretrained or custom models Learn More SQL, Python, and Scala Ready Build with the tools your team already knows Learn More Lakehouse ready with Apache Iceberg Included Upserts, inserts, and transforms on spatial data at any scale. Learn More Fully Compatible with Apache Sedona Lower the cost of your existing workflows with zero code changes. Learn More Get hands on with Apache Sedona Download O'Reilly Book How it works From raw physical-world data to production AI. One platform. Built for how your team works Data Engineers Build production spatial pipelines on the data that drives your business. SQL and Python you know. Scale you couldn’t get anywhere else. Learn More Data Scientists and ML Engineers Explore physical-world data in notebooks, build geospatial machine learning models, and run satellite imagery analysis at any scale. All in one environment. Learn More AI and Geospatial Teams Give your AI agents physical-world context. The Spatial AI Coding Assistant and Global Hub let AI systems discover, query, and reason about geospatial data natively. Learn More “Overture’s 2.6B-building dataset now runs up to 20x faster on Wherobots, with a simple code redirect that kept Sedona compatibility and made our team more productive.” Jennings Anderson Software Engineer with Meta for Overture “With Wherobots on AWS, we can now scale to millions of acres reliably and cost-effectively—delivering faster results and more value to our customers.” G. Bailey Stockdale CEO Leaf Agriculture “With Apache Sedona, we process millions of fleet-derived traffic signs, using scalable spatial joins and partitioning to automate map updates—enhancing Amazon Last Mile’s delivery networks for faster, more reliable routing.” Arka Pratim Das Sr. Manager, Software Development, Amazon Maps “Working with Wherobots lets us focus on what matters — helping our clients make better land decisions. Their platform helps us scale efficiently while keeping our attention on real-world outcomes across energy, conservation, and development.” Danan Margason Founder & CEO at Aarden.ai “Getting data, algorithms, and compute in one place with Spark/Sedona notebooks is a huge boost—powerful like Earth Engine, but with the control developers need to get jobs done.” John Powell Sr. Geospatial Data Engineer, AddressCloud “39 days of processing reduced to <1 day—delivering faster, more accurate population insights to our logistics and supply chain customers worldwide.” Jerome Urbain Head of Products at GeoPostcodes The context layer for the industries that shape the physical-world data Industries depend on spatial data Real Estate Finance Retail Score millions of properties against every hazard layer. Spatial risk models run in minutes, not days, with the auditability NAIC compliance demands. Industries depend on spatial data Ag-Tech Climate Change Insurance Drive sustainability initiatives at a higher scale with a better understanding of what’s happening on Earth Industries depend on spatial data Mobility Data Products Automotive Fuel mobility and automotive innovation with GPS-scale data and intelligent, automated spatial models Our team of experts will show you the art of what’s possible Request demo SECURITY Designed for data security first Learn why companies trust Wherobots as a lakehouse engine Learn More Blog Latest News 8 Mins Read 26 Mar 2026 Mobility Data Processing at Scale: Why Traditional Spatial Systems Break Down A Wherobots Solution Accelerator for GPS Mobility Analytics — Part 1 of 2 6 Mins Read 19 Mar 2026 PostGIS vs Wherobots: What It Actually Costs You to Choose Wrong When building a geospatial platform, technical decisions are never just technical, they are financial. Choosing the wrong architecture for your spatial data doesn’t just frustrate your data team; it directly impacts your bottom line through large cloud infrastructure bills and, perhaps more dangerously, delayed business insights. For decision-makers, the choice between a traditional spatial database […] 11 Mins Read 18 Mar 2026 Streaming Spatial Data into Wherobots with Spark Structured Streaming Real-time Spatial Pipelines Shouldn’t Be This Hard (But They Were) I’ve been doing geospatial work for over twenty years now. I’ve hand-rolled ETL pipelines, babysat cron jobs, and debugged more coordinate system mismatches than a person should reasonably endure in one lifetime. So when someone says “streaming spatial data,” my first reaction used to be […] 5 Mins Read 11 Mar 2026 WherobotsDB is 3x faster with up to 45% better price performance The next generation of WherobotsDB, the Apache Sedona and Spark 4 compatible engine, is now generally available. VIEW MORE Frequently Asked Questions What is Wherobots? Wherobots is the AI Context Engine for the Physical World. It gives data engineers, data scientists, and AI developers a unified platform for geospatial analytics, satellite imagery analysis, and spatial AI at planetary scale. WherobotsDB handles distributed spatial compute with 300+ spatial functions covering vector and raster data, with native Spark SQL for tabular operations. RasterFlow runs satellite imagery analysis at any scale. The Spatial AI Coding Assistant connects to VS Code and every major AI coding environment. Built by the original creators of Apache Sedona (68M+ downloads), 100% code compatible across all spatial functions. Does Wherobots work with my existing data stack? Yes. Wherobots integrates with AWS and Databricks Unity Catalog and uses Apache Iceberg as its open table format. It is fully compatible with Apache Sedona, meaning existing Sedona workloads run on Wherobots without code changes. For teams with stricter data residency or security requirements, VPC deployment is available. See the Databricks integration page for details on connecting to Unity Catalog. How does Wherobots compare to PostGIS, Google Earth Engine, and Databricks? PostGIS runs on a single machine and cannot scale horizontally. WherobotsDB handles planetary-scale distributed geospatial analytics across billions of geometries. Google Earth Engine splits raster and vector into separate systems with separate APIs. WherobotsDB unifies both with 300+ spatial functions covering vector and raster data, with native Spark SQL for tabular operations. Databricks runs spatial joins using H3 approximations that sacrifice geometric precision. WherobotsDB delivers geometrically correct results. According to the Apache Sedona SpatialBench benchmark at Scale Factor 1000, WherobotsDB delivers up to 20x faster geospatial operations than traditional big data engines. In production, teams have seen processing times drop from 39 days to under one day. How do I use Wherobots with VS Code or my favorite agentic coding tool? The Spatial AI Coding Assistant is available on the Visual Studio Marketplace. Install it there to write and run spatial queries directly from VS Code. For Claude Code, OpenCode, and other agentic development tools, install the Wherobots MCP server. The MCP server gives your AI coding environment direct access to Wherobots, including the ability to design queries against your spatial data estate, understand datasets in S3 and Databricks Unity Catalog, and run those queries on WherobotsDB. Support for additional coding environments is expanding. Who built Wherobots and what is the connection to Apache Sedona? Wherobots was founded in June 2022 by Jia Yu and Mo Sarwat, the researchers who created Apache Sedona at Arizona State University. Apache Sedona is the most widely deployed open-source distributed spatial engine in the world, with 68M+ downloads. It runs on Apache Spark and Apache Flink and supports spatial SQL, Python, Java, and Scala. WherobotsDB is built on Apache Sedona and is 100% code compatible, meaning any Apache Sedona workload runs on Wherobots with zero code changes. Wherobots adds managed cloud infrastructure, RasterFlow for satellite imagery analysis at any scale, and the Spatial AI Coding Assistant on top of the Apache Sedona foundation. How do I get started with Wherobots? Get started with a Professional account with advanced features, or talk to an expert if you have questions about your use case. New Pro subscribers can get a 30-day free trial with $300 in consumption credits. Get started Modernize your spatial data in the lakehouse today. request demo try wherobots now
