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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!
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.
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.
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.
WherobotsAI Raster Inference is GA with Support for Bring Your Own Model
We are excited to announce that WherobotsAI 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.
Wherobots is ready for AWS workloads
We're thrilled to announce that Wherobots is generally available for AWS customers with pay-as-you-go pricing via the AWS Marketplace. AWS customers can subscribe to a 30 day, free trial of the Wherobots Professional Edition for up to $400 in usage, and discover how easy it is to create spatial solutions that propel their business forward. The integration with the AWS Marketplace simplifies the Wherbots buying and usage experience, particularly those with AWS commitments or discounts that apply to AWS Marketplace spend. Coupled with a secure integration to run Wherobots on private or public S3 buckets, Wherobots is where the next generation of geospatial solutions are developed on AWS.
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 be used to solve real-world problems. But the majority of such data is often stuck in siloed legacy systems or sits idle and disjointed. That’s why we have dedicated our academic and professional careers to answer planetary-scale questions. We’re on a mission to help companies make sense of their data so they can take on issues like how to manage their fleets of vessels and vehicles, where and how to build infrastructure, and determine the best methods to assess and mitigate risk of catastrophic natural disasters.
This Month in Apache Sedona: November Edition
Welcome to the November edition of This Month in Apache Sedona! In this issue, you'll find the latest news about Apache Sedona and Wherobots. Learn about our newest release, which includes KNN Join, GeoStats, and DataFrame-based readers. Plus, we have plenty of exciting upcoming events to share!
Introducing kNN Join for Wherobots and Apache Sedona
We are excited to introduce the k-Nearest Neighbors Join (kNN Join) for WherobotsDB and Apache Sedona 1.7.0. With the kNN Join, you can efficiently find the closest entities to your points of interest from datasets at scale. We’ve released two types of kNN Joins: the Exact kNN Join and the Approximate kNN Join. With these two kNN Join options, you can efficiently find the closest entities to your points of interest from datasets at scale, and trade off performance versus accuracy needs.
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.
Announcing SAML Single Sign-On (SSO) Support
Wherobots Cloud introduces SAML Single Sign-On (SSO) for Professional Edition customers, offering enhanced security and a seamless login experience. Discover how SAML SSO simplifies authentication, protects sensitive location data, and boosts organizational efficiency. Learn how to enable it for your team today!
Wherobots Joins Overture, Winning The Taco Wars, Spatial SQL API, Geospatial Index Podcast – This Month In Wherobots
Welcome to This Month In Wherobots the monthly developer newsletter for the Wherobots & Apache Sedona community! This month we have news about Wherobots and the Overture Maps Foundation, a deep dive on new Wherobots Cloud features like raster inference, generating vector tiles, and the Spatial SQL API, plus a look at retail cannibalization analysis […]
