The platform for geospatial analytics, satellite imagery AI, and spatial data automation WherobotsDB for planetary-scale spatial compute. RasterFlow for Earth intelligence inference. The Spatial AI Coding Assistant for AI-native development. A Global Hub for data, notebooks, workflows and recipes. Built by the original creators of Apache Sedona. GET STARTED NOW Challenges preventing data teams from innovating with spatial data. Legacy solutions don’t perform at scale. Constrained to a single machine or traditional databases that only scale vertically. “Modern” cloud engines are geo-incomplete. Geospatial support in the cloud is second-rate, delivering underwhelming performance and suboptimal DevEx. LLM AND CODE GEN SYSTEMS AREN’T SKILLED IN SPATIAL Knowledge of spatial data functions requires fine tuned expertise. What you get with Wherobots Cloud Elevated spatial data productivity. Unified analytics of various data types at speeds orders of magnitude faster (typically 5-20x faster) than popular cloud engines, at a fraction of the cost. Get started now An open core geospatial platform in the cloud. Offering Apache Sedona compatibility, unified analytics of vector and raster data, 300+ functions, and an abundance of native spatial ETL and AI capabilities. Dive in here Expertise embedded accelerating time to value Let the product guide you through models, compute and learning journeys built into the user experience. Accelerate your time to productivity with our guidance. Explore Courses and Learning CAPABILITIES The Global Hub Datasets from Overture Maps and Foursquare. Pre-trained AI models. Solution notebooks. Your own data from S3 or Unity Catalog. Learn More Spatial AI Coding Assistant Discover datasets, construct queries, and run production jobs through natural language. VS Code and MCP. Learn More Automate Take spatial pipelines to production. Apache Airflow integration, Job Runs API, and full observability. The same code from notebooks, now in production. Learn More WherobotsDB Planetary-scale spatial compute. 300+ spatial functions for vector and raster data. 3x faster at 46% lower cost. Built on Apache Sedona. Learn More RasterFlow Satellite imagery analysis at any scale. Run computer vision models on satellite imagery. From a city block to the entire globe. Learn More Resources Blog View more 8 Mins Read 14 Feb 2025 Iceberg GEO: Technical Insights and Implementation Strategies In our previous blog post, we announced Apache Iceberg and Parquet’s support for spatial data… 7 Mins Read 24 Sep 2025 Introducing SedonaDB and SpatialBench for Apache Sedona The spatial-first query engine and benchmarking framework for Apache Sedona 14 Mins Read 16 Dec 2024 Building a Spatial Data Lakehouse Explore how Apache Iceberg based Havasu redefines data management for geospatial data lakehouse architectures. Learn… News View more 7 Mins Read 25 Nov 2024 Accelerating Vector and Raster Analysis at GeoPostcodes How long is too long to wait for a data set to process? In the… 7 Mins Read 26 Nov 2024 Announcing Our 21.5M Series A :: Unlocking Answers to Planetary-scale Questions. Each day, satellites, drones, applications, and GPS devices generate petabytes of spatial data that can… 7 Mins Read 11 Feb 2025 Apache Iceberg and Parquet now support GEO Geospatial solutions were thought of as “special”, because what modernized the data ecosystem of today,… Frequently Asked Questions What capabilities does Wherobots include? WherobotsDB is the distributed spatial compute engine with 300+ functions covering vector and raster data, with native Spark SQL for tabular operations. RasterFlow is the serverless inference engine for satellite imagery analysis and Earth intelligence. The Spatial AI Coding Assistant connects AI agents to spatial data through VS Code and MCP. The spatial data catalog provides hosted datasets from Overture Maps and Foursquare, pre-trained AI models, and solution notebooks. Production automation integrates with Apache Airflow and the Job Runs API for scheduled spatial pipelines. What deployment options are available for Wherobots? Wherobots offers managed cloud (SaaS), bring-your-own-cloud, and VPC deployment. All deployment options include SOC 2 Type 2 attestation. Data stays in your cloud environment. For teams with strict data residency or security requirements, VPC deployment keeps all compute and storage within your AWS account. Build AI that understands the physical world. Wherobots is the AI Context Engine for the Physical World. START BUILDING JOIN THE COMMUNITY
8 Mins Read 14 Feb 2025 Iceberg GEO: Technical Insights and Implementation Strategies In our previous blog post, we announced Apache Iceberg and Parquet’s support for spatial data…
7 Mins Read 24 Sep 2025 Introducing SedonaDB and SpatialBench for Apache Sedona The spatial-first query engine and benchmarking framework for Apache Sedona
14 Mins Read 16 Dec 2024 Building a Spatial Data Lakehouse Explore how Apache Iceberg based Havasu redefines data management for geospatial data lakehouse architectures. Learn…
7 Mins Read 25 Nov 2024 Accelerating Vector and Raster Analysis at GeoPostcodes How long is too long to wait for a data set to process? In the…
7 Mins Read 26 Nov 2024 Announcing Our 21.5M Series A :: Unlocking Answers to Planetary-scale Questions. Each day, satellites, drones, applications, and GPS devices generate petabytes of spatial data that can…
7 Mins Read 11 Feb 2025 Apache Iceberg and Parquet now support GEO Geospatial solutions were thought of as “special”, because what modernized the data ecosystem of today,…