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21 posts on Spatial Lakehouse.
Learning Wherobots by Building a National AI Data Center Suitability Report
This guest post is from a Wherobots user George Chandeep Corea, which covers an exploration of how he used Wherobots MCP with his preferred AI coding tools to build the interactive AI data center site suitability analysis tool below. The following quote is from his own biography. Learning by Doing Below is a working national […]
Wherobots Now Federates with the AWS Glue Data Catalog
AWS customers can now bring Wherobots’ best-in-class spatial intelligence capabilities to any dataset managed by AWS Glue Data Catalog. AWS Glue Data Catalog (GDC) customers use it to manage structured data, like user activity and revenue reports, and complex geospatial data, like parcels, buildings, and mobility datasets. AWS services like EMR, Redshift, and Athena excel […]
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 […]
Wherobots MCP Server: Building GEOINT Spatial Pipelines with AI Agents
Editor’s note: The Wherobots Spatial Data Catalog is now the Havasu Catalog. I built three national-security GEOINT use cases on the Wherobots stack in days instead of weeks. A Critical Infrastructure Vulnerability (CIV) pipeline with two regional variants, plus a border-corridor analysis on real transportation segments. The Wherobots geospatial MCP server is what made that […]
Spatial Data Processing Platforms: A Comparison of Enterprise and Cloud-Native Options
For Data Engineers and Architects Evaluating Spatial Workloads on Snowflake, Databricks, and PostGIS Six platforms dominate spatial data processing today: PostGIS for transactional workloads under 100GB, Snowflake and BigQuery GIS for light spatial enrichment inside a broader analytics platform, Databricks for vector spatial joins on the Lakehouse, Apache Sedona for self-managed open-source distributed spatial compute, […]
Spatial Data Pipeline Architecture: PostGIS and Wherobots Together
In the world of data architecture, there is a dangerous myth that you have to choose “one tool to rule them all.” We often see organizations paralyzed by the debate: “Should we use a Database or a Data Lake?” A spatial data pipeline architecture built for both large-scale analytics and operational queries is one of […]
Iceberg v3 Gets Native Geo Types. It’s More Than a Format Upgrade
Introduction Geospatial data touches nearly every industry, and until recently, the open lakehouse had no native way to handle it. Snowflake recently announced Iceberg v3 support with native geometry and geography types. It’s the first major engine to ship the geospatial extensions to the Iceberg spec. These types are now part of the open standard, […]
Mobility Data Processing at Scale: Why Traditional Spatial Systems Break Down
A Wherobots Solution Accelerator for GPS Mobility Analytics — Part 1 of 2
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 […]
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.
