Featured
13 Mins Read 16 Dec 2024

Building a Spatial Data Lakehouse

Explore how Apache Iceberg based Havasu redefines data management for geospatial data lakehouse architectures. Learn to optimize the storage, querying, and analysis of large-scale spatial datasets with high performance and cost efficiency.

Spatial Lakehouse + 1
Featured
6 Mins Read 25 Nov 2024

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.

Stories + 1
Featured
10 Mins Read 20 Nov 2024

Overture Data In Wherobots Spatial Data Catalog

Effortlessly access and analyze Overture Maps Foundation data with Wherobots. This guide details seamless integration, leveraging our Havasu Iceberg spatial catalog for optimized performance and insightful visualizations. Explore practical examples and unlock new possibilities in geospatial data analysis.

Havasu Catalog + 1
Featured
5 Mins Read 6 Nov 2024

How to shift Apache Sedona on Spark workloads to WherobotsDB

Wherobots customers are realizing up to a 20x performance increase and significant cost savings by shifting their Apache Sedona workloads into Wherobots. This guide shows you how easy it is to migrate Apache Sedona workloads into WherobotsDB, and focuses on best practices for Apache Sedona migrations from Amazon EMR, AWS Glue, and Databricks.

Apache Sedona + 1
Featured
10 Mins Read 5 Nov 2024

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.

Apache Sedona + 3
Featured
7 Mins Read 13 Sep 2024

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 […]

WherobotsDB