Featured
9 Mins Read 3 Apr 2025

Benefits of Apache Iceberg for geospatial data analysis

Apache Iceberg v3 supports the geometry type which allows the geospatial community to take advantage of amazing Iceberg features like reliable transactions, DML operations (deletes & upserts), time travel, versioned data, schema enforcement, schema evolution, and much more. This post shows how to use Apache Iceberg with the Sedona engine and explains how these features benefit spatial computations.

Apache Sedona
Featured
5 Mins Read 14 Mar 2025

The Spatial Intelligence Newsletter: Map Matching, Spatial Joins, ML for EO, Cloud-Native Geospatial and More

Welcome back to the latest edition of the Spatial Intelligence Newsletter! From map matching to spatial joins and cloud-native geospatial, our team has been busy brewing up some exciting developments here at Wherobots!

Apache Sedona + 2
Featured
7 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 types and discussed their significance. Today, we take a closer look at these GEO data types in Iceberg (collectively Iceberg GEO in this blog), exploring design, key features, and implementation considerations.

News + 1
Featured
6 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, left geospatial data mostly behind. This changes today. Thanks to the efforts of the Apache Iceberg and Parquet communities, we are excited to share that both Iceberg and Parquet now support geometry and geography (collectively the GEO) data types.

General + 2
Featured
6 Mins Read 23 Jan 2025

Wherobots 2024 accomplishments, and what’s on-deck in 2025

2024 was a transformative year for Wherobots. Our mission to revolutionize how geospatial data is used took significant strides forward, positively impacting our customers and industry. Over the past year, we more than tripled the size of our team and successfully closed a $21.5M Series A funding round. We expanded accessibility to Wherobots’ industry-leading geospatial query performance, integrated Wherobots into the native AWS buying experience, and unveiled groundbreaking features like Raster Inference, Map Matching, and GeoStats—empowering users to create scalable geospatial solutions like never before.

General + 2
Featured
7 Mins Read 17 Dec 2024

Wherobots Raster Inference is GA with Support for Bring Your Own Model

We are excited to announce that Wherobots Raster Inference is now generally available! Raster Inference is a serverless, planetary-scale computer vision solution that extracts meaningful insights from aerial imagery (raster data) sources, such as satellites or drones, and puts these insights at the fingertips of data scientists and developers.

Computer Vision + 4