Introducing RasterFlow: a planetary scale inference engine for Earth Intelligence

RasterFlow takes insights and embeddings from satellite and overhead imagery datasets into Apache Iceberg tables, with ease and efficiency at any scale.

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 […]

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 […]

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.

Raster Processing at Scale: The Out-of-Database Architecture Behind WherobotsDB

Learn how WherobotsDB's out-of-database architecture processes terabyte-scale satellite imagery, elevation models, and sensor data at scale, enabling zonal statistics, raster algebra, and planetary-scale AI inference without custom infrastructure.

PostGIS, Wherobots, and the Spatial Data Lakehouse: A Strategic Guide for Leaders

Explore PostGIS, Wherobots, and the Spatial Data Lakehouse. Learn when to use each for scalable geospatial analytics, AI, and cost-efficient data strategy.

It takes 15 minutes for the Caltrain to get from Sunnyvale to SAP Center

That’s how long it took our MCP server to go from “how many bus stops are in Maryland” to an answer

Wherobots and Felt Partner to Modernize Spatial Intelligence

We’re excited to announce Wherobots and Felt are partnering to enable data teams to innovate with physical world data and move beyond legacy GIS, using the modern spatial intelligence stack. The stack with Wherobots and Felt provides a cloud-native, spatial processing and collaborative mapping solution that accelerates innovation and time-to-insight across an organization. What is […]