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!

🌶 Comparing taco chains :: a consumer retail cannibalization study with isochrones

Authors Ilya Marchenko Using Wherobots for a Retail Cannibalization Study Comparing Two Leading Taco Chains In this post, we explore how to implement a workflow from the commercial real estate (CRE) space using Wherobots Cloud. This workflow is commonly known as a cannibalization study, and we will be using WherobotsDB, POI data from OvertureMaps, the […]

Processing A Billion Aircraft Observations And Combining With Weather Data Using Apache Sedona On Wherobots Cloud

In this post we take a look at combining aircraft flight data with weather data to identify potentially impacted flights using public ADS-B data and weather data from NOAA. Along the way we introduce the types of spatial queries available with WherobotsDB including spatial range queries, spatial kNN, and spatial joins using Spatial SQL, geospatial […]

Making Overture Maps Data More Efficient With GeoParquet And Apache Sedona

The latest release of Overture Maps data is now published in GeoParquet format, allowing for more efficient spatial operations when selecting subsets of the dataset and enabling interoperability with a growing ecosystem of data tooling that supports the cloud-native GeoParquet format. In this post we explore some of the motivations and advantages of publishing the […]