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
8 Mins Read 8 Oct 2024

Introducing GeoStats for Wherobots and Apache Sedona

We are excited to introduce GeoStats, a machine learning (ML) and statistical toolbox for Wherobots 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.

Apache Sedona + 2
Featured
6 Mins Read 2 Oct 2024

What is Apache Sedona?

Apache Sedona is a cluster computing system for processing large-scale spatial data. It treats spatial data as a first class citizen by extending the functionality of distributed compute frameworks like Apache Spark, Apache Flink, and Snowflake. Apache Sedona was created at Arizona State University under the name Geospark, in the paper “Spatial Data Management in Apache Spark: The GeoSpark Perspective and Beyond.

Apache Sedona + 1
Featured
4 Mins Read 25 Sep 2024

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!

News + 1
Featured
8 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