Wherobots

We are excited to introduce new capabilities on Wherobots Cloud for modernizing spatial intelligence: —> WherobotsAI to accelerate analytics of aerial imagery with AI-enabled SQL and Python —> A Spatial SQL API for bringing the high performance of WherobotsDB to your favorite applications —> A planetary scale vector tile generator for PMTiles Read the complete release post: https://bit.ly/4bOVSvu Try Wherobots Cloud: https://wherobots.com/

A huge thanks to YuzuData for joining us in our latest webinar! Follow along as we walk through cannibalization and competition studies between Torchy’s Tacos and Velvet Taco. 🌮 ➡️ Identify points of interests with Overture Maps ➡️ Generate trade areas with drive-time isochrones using Valhalla API ➡️ Estimate cannibalization and competition potential and visualize the results ➡️ Understand the business implications of #LocationIntelligence 📺 Watch the replay here: https://lnkd.in/gXTw5M9J

Just a friendly reminder our webinar is coming up soon! Check out the event for more details and to register. https://bit.ly/3yS8402 We hope to see you there!

🚀 Congrats to the Overture Maps Foundation team on this incredible milestone! It's not easy flipping the switch to your datasets with confidence and calling the GA! Well done! ✅ 🗺 If you didn't know, we keep the latest releases of the Overture datasets fresh in the Wheobots spatial data catalog so you can leverage them alongside your data products to meet your company and industry needs. Start a trial on Wherobots.com to check it out.

Wherobots has already been working with Overture data as we ramped up. It's great to have them officially on the team. Not all map data ends up on visual map displays...spatial analysis is a huge and growing use case for open map data.

🎉🌐 Wherobots has officially joined Overture Maps Foundation to support the next generation of planetary-scale open map data! 🎉🌐 We've supported the development of Overture datasets through Overture Maps Foundation’s use of the open-source Apache Sedona project to develop and distribute the Overture datasets, enabling Overture to embrace modern cloud-native geospatial technologies like GeoParquet. By joining Overture Maps Foundation as Contributing Members Wherobots will continue to support the ongoing development, distribution, and evolution of this critical open dataset that enables developers and data practitioners to make sense of the world around us. Read more about this announcement including how to get started with Overture data in Wherobots Cloud in our blog post (link in comments).

How can you leverage advanced geospatial technologies to solve real-world business problems? Join us for an upcoming webinar where YuzuData will delve into this topic, focusing on a cannibalization study between two prominent taco chains in Texas. 📅 Tuesday, July 30 at 10AM PT / 1PM ET Key Topics: ✨ Introduction to Cannibalization Studies ✨ Data Handling and Visualization ✨ Isochrone Analysis for Drive-time Studies ✨ Advanced Location Intelligence Techniques  👀 Sneak peek into Wherobots 1.3 features Register here: https://lnkd.in/gkvW-Qjs

In our latest blog, our very own James Willis walks you through how to generate global PMTiles from Overture Maps in just 26 minutes with WherobotsDB VTiles. ⚡ 📈 What are Vector Tiles and why should you use PMTiles? Learn why WherobotsDB VTiles stands out as the most scalable and performant solution for generating vector files. 🔍 Discover how WherobotsDB VTiles simplifies, scales, and accelerates vector tile creation for larger datasets, effortlessly handling billions of records from Overture datasets. Read the full blog here: https://bit.ly/3xU2ryi

In our latest blog, our very own James Willis walks you through how to generate global PMTiles from Overture Maps in just 26 minutes with WherobotsDB VTiles. ⚡ 📈 What are Vector Tiles and why should you use PMTiles? Learn why WherobotsDB VTiles stands out as the most scalable and performant solution for generating vector files. 🔍 Discover how WherobotsDB VTiles simplifies, scales, and accelerates vector tile creation for larger datasets, effortlessly handling billions of records from Overture datasets. Read the full blog here: https://bit.ly/3xU2ryi

Many inquire about the distinctions between WherobotsDB, PostgreSQL, and DuckDB when it comes to handling spatial data. First, we quickly explain what spatial data is and then show how the three systems differ? Spatial data: refers to information about events occurring at specific locations in the real world. This can include data on moving assets like cars, aircraft, and ships; man-made activities such as home purchases, concerts, foot traffic to various destinations, and crime incidents; as well as natural events like weather phenomena, natural disasters, and environmental monitoring data. Additionally, spatial data can pertain to events in virtual environments, such as gaming or VR/AR settings. Here's a summary of how the 3 systems differ: - WherobotsDB is a data processing engine optimized from the ground-up for spatial data workloads. It leverages Apache Sedona for scale-out distributed spatial analytics and AI operations in cloud-native environments. Explore WherobotsDB: https://wherobots.com/ - PostgreSQL is a relational database system for OLTP workloads, featuring a spatial extension (PostGIS) for basic spatial operations. It necessitates a running database server for client applications to connect and perform data operations. - DuckDB is an embedded-in-application relational database engine suited for small-scale OLAP workloads, with a spatial extension for rapid spatial operations. Easy to install on local machines, DuckDB is ideal for small-scale OLAP tasks. These systems can complement each other and are compatible with GIS applications like ArcGIS, QGIS, and BI tools. Remember, they can be used individually or in combination based on the specific workload requirements. Explore WherobotsDB: https://wherobots.com/ Discover Apache Sedona: https://lnkd.in/gMfRdrZd Cc: Wherobots DuckDB PostgreSQL Global Development Group #geospatial #dataanalytics #dataengineering #datascience #bigdata #sql #esriuc #postgresql #database #gischat