“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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Native Support For
ArangoDB uniquely supports geospatial applications because of its native ability to efficiently store and process complex spatial data relationships. Only by integrating geospatial information with other data types within the same platform can developers build advanced analytics and location-based services across industries.
Real-Time Fleet Tracking
ArangoDB’s geospatial features ensure easy integration of location data, crucial for real-time tracking and optimizing logistics. Without this, developers face the cumbersome task of manually merging location-based and database systems, which is error-prone and tedious. It's now easier for developers to manage and manipulate data, and this, in turn, minimizes inaccuracies and errors in the system.
Spatial Analytics for Retail
Imagine what is involved today for a retailer to gain insights into most visited store sections, time spent in specific areas, and paths taken through the store. Store layouts and product placements can be optimized, but even when using Wi-Fi and Bluetooth signals or even heat maps to track customers, imagine the data integration challenge! ArangoDB finally incorporates intricate spatial data efficiently, providing the first viable approach to leveraging this information.
Imagine a restaurant recommendation app. ArangoDB can cross-references real-time location with user preferences and relationships to suggest personalized dining options. This blend of multifaceted, real-time analysis is a distinctive ArangoDB trait, allowing a richer, more context-aware user experience without the need for multiple database systems or cumbersome data transformations, streamlining the development process significantly.
Geofencing for IoT
Consider an IoT application that needs to set up boundaries and take actions based on location. This is great for making personalized services, sending security alerts, and keeping track of assets. By merging location and context in a simple way, ArangoDB allows applications to adapt and respond quickly, making it a solid choice for IoT solutions. The focus here is on practicality and immediate response.
ArangoDB vs. Commodity
Graph DBs For Geospatial
ArangoDB For Geospatial Applications
Legacy Graph DB
for Geospatial Applications
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