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 on physical-world data 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 with Wherobots and Apache Sedona Use cases for spatial data engineering Geospatial analytics and spatial AI at planetary scale 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 Planetary-scale spatial compute Spatial joins in minutes, not days. 300+ spatial functions covering vector and raster data, with native Spark SQL for tabular operations. 3x faster at 46% lower cost. Built by the creators of Apache Sedona. Learn More Perception-as-a-Service Run satellite imagery analysis at any scale, from a city block to the entire globe. RasterFlow delivers production-grade inference without building computer vision pipelines from scratch. Learn More AI that understands your spatial data The Spatial AI Coding Assistant works inside VS Code and every major AI coding environment. Discover geospatial datasets, construct spatial queries, and run production jobs through natural language. Learn More No new tools. No new languages. Write the SQL and Python you already know. WherobotsDB handles the spatial complexity: coordinate systems, projections, and indexing. Learn More Lakehouse-native with Apache Iceberg Upserts, inserts, and transforms on physical-world data at any scale. Open table formats. No lock-in. Learn More 100% Apache Sedona compatible 68M+ downloads. The most widely deployed distributed spatial engine in the world. Your code runs on Wherobots with zero 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 Monitor millions of acres daily with satellite imagery analysis. RasterFlow turns raw imagery into crop health scores, field boundaries, and change detection at continental scale. Industries depend on spatial data Mobility Data Products Automotive Process global vector datasets, fuse GPS with road networks, and refresh maps at the speed your customers demand. Built for the scale of Overture Maps. See how Wherobots grounds your AI in the physical world TALK TO US SECURITY Designed for data security first Learn why companies trust Wherobots as a lakehouse engine Learn More Blog Latest News 10 Mins Read 7 Apr 2026 How Agricultural Fields Change in AlphaEarth Foundations Explore how Alpha Earth Embeddings reveal crop cycles and field change over time using RGB views, PCA, and embedding-distance analysis. 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 […] 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 Databricks, AWS and Apache Iceberg? Yes. Wherobots connects to your data wherever it lives without requiring migration. For Amazon S3, WherobotsDB reads and writes directly to your own S3 buckets using cross-account IAM roles. For Databricks users, WherobotsDB connects to Unity Catalog and runs geospatial analytics on data already in your lakehouse. For teams using AWS Glue, WherobotsDB connects to AWS Glue Catalog as an Iceberg catalog, letting you manage and query your existing Iceberg tables from Wherobots Spark workloads. Apache Sedona workloads running in AWS Glue, Databricks, or EMR run on WherobotsDB with zero code changes. Spatial SQL and Python pipelines you have already written work without modification. For Wherobots-native storage, tables are stored in Havasu, Wherobots’ spatial table format built on Apache Iceberg, which adds native geometry and raster column types, ACID transactions, schema evolution, and time travel. How does Wherobots compare to PostGIS, Google Earth Engine, and Databricks? PostGIS runs on a single machine and cannot scale horizontally. Teams that outgrow PostGIS face a hard ceiling on geospatial data analysis at scale. 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. Build AI that understands the physical world 300+ spatial functions covering vector and raster data, satellite imagery analysis at any scale, and the compute to run it all at planetary scale. talk to us try wherobots now
