Advanced Geospatial
Revolutionize Your Spatial Queries: ArangoDB Outpaces Legacy Graph DB Vendors in Delivering Unrivaled Graph Geospatial Proficiency and Versatility
“We use ArangoDB for storing and processing of geo locations (i.e., beacons, router, GPS information), storing and sending notifications, and processing campaigns. We even run the proximity based algorithm on ArangoDB to decide which notification or campaign will be shown to the user.”
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Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
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Questions to ask Legacy Graph DB Vendors
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Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.
FULL GeoJSON Support
ArangoDB fully supports GeoJSON, a popular tool for geographic data. This means sharing and using location data with other tools is easy, offering more options in managing this data.
Why it matters: GeoJSON support allows developers to use various geospatial tools effectively, improving applications and making location-based implementations more versatile.
Accurate Location-Based Search
ArangoDB is very good at finding data based on location quickly and accurately. It’s helpful for apps that need real-time location data, fulfilling users immediate needs.
Why it matters: Precise location-based searches are crucial in different industries, allowing for immediate decisions and improving overall operational efficiency and user experience.
Quick Proximity Searches
ArangoDB effectively enables users to locate nearby points with ease and precision. By leveraging advanced technology, it provides accurate and pertinent results, making it invaluable for apps requiring real-time, location-based data, ensuring users get the most relevant information based on their current locale.
Why it matters: Proximity searches are important in giving users relevant information or services, enhancing user experience by providing useful, local information in real-time.
Easy Geo-Queries with AQL
Imagine if you could leverage AQL to do complicated location searches easily. This makes it simple for developers to get accurate location information, making working with geospatial data much easier.
Why it matters: Geospatial graph algorithms and other features are not much use unless they are easily accessed via a simple, unified query language that can integrate multiple data types and sources.
Location Data Indexing
What if you could significantly reduce the time and computational resources needed to retrieve geospatial information? Especially when dealing with large datasets. In essence, indexing creates a data structure that allows for rapid data retrieval, bypassing the need to scan each document sequentially.
Why it matters: This means quicker, more responsive query executions, enabling the construction of more efficient and effective geospatial applications
Get started with
Graph today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Download The Graph DB Buyer’s Guide
Questions to ask Legacy Graph DB Vendors
Read the
Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.