Planetary-scale answers, unlocked.
A Hands-On Guide for Working with Large-Scale Spatial Data. Learn more.
Daniel is a Sr. Solution Architect with 20 years in the Geospatial industry working on public and private sector projects. Daniel's role at Wherobots has him designing everything from demos, to tutorials and to customer solutions, as well as supporting pre and post sales customer success.
Spatial Data in Apache Iceberg: Optimizations and Management That Matter
Spatial data in Apache Iceberg needs different optimization than tabular data. A geometry column has no natural sort order, so unsorted files carry wide, overlapping bounding boxes and query planners cannot prune them… At all… This behaviour turns a selective spatial filter into a full table scan. A second problem compounds it: one oversized geometry […]
Spatial Graph RAG for the Physical World
Introduction RAG (Retrieval Augmented Generation) has addressed one of AI’s biggest challenges for enterprise users: missing or hallucinating empirical business and real world context . Instead of generating answers from nothing, RAG retrieves relevant documents and feeds them to the model as context. It works. Ask an AI about your company’s Q4 revenue, and RAG […]
Introducing the Wherobots Python SDK
What is the Wherobots Python SDK? The Wherobots Python SDK is a typed Python client for submitting, monitoring, and managing Wherobots job runs. It ships on PyPI as wherobots-python-sdk. One install, one API key, and you’re running spatial jobs from any Python environment: CI/CD pipelines, notebooks, a local shell. The SDK is built for three […]
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 […]
Accelerating Vector and Raster Analysis at GeoPostcodes
How long is too long to wait for a data set to process? In the fast-paced world of data as a service, efficiency isn't just a nice-to-have; it's essential. But for GeoPostcodes, previous updates to the global population movement datasets took about 39 days. This was running on a headless QGIS instance in combination with PostGIS, combining population rasters with postal code boundaries.
Introducing GeoStats for WherobotsAI and Apache Sedona
We are excited to introduce GeoStats, a machine learning (ML) and statistical toolbox for WherobotsAI and Apache Sedona users. With GeoStats, you can easily identify critical patterns in geospatial datasets such as hotspots and anomalies, and quickly get critical insights from large scale data. While these algorithms are supported in other packages, we’ve optimized each algorithm to be highly performant for small to planetary scale geospatial workloads. That means, you can get results from these algorithms significantly faster, at a lower cost, and do it all more productively, through a unified development experience purpose-built for geospatial data science and ETL.
Wherobots and PostgreSQL + PostGIS: A Synergy in Spatial Analysis
TL;DR Wherobots (powered by Apache Sedona) and PostgreSQL + PostGIS are complementary tools, not competitors. Use Wherobots for large-scale spatial ETL, processing speed, and distributed analytics. Use PostGIS for data persistence, transactional integrity, and long-term storage. Together, they form a complete spatial data pipeline. At scale, WherobotsDB is up to 317x faster than PostGIS on […]
Quickly and Easily Create Vector Tiles with Wherobots and Overture Maps Foundation Data
Editor’s note: The Wherobots Spatial Data Catalog is now the Havasu Catalog. Generating map tiles can be challenging and expensive, especially when dealing with large datasets like those from the Overture Maps Foundation (Overture). It’s challenging and expensive because typical solutions are not scalable or performant, which forces you to build workarounds that waste your […]
