Overview

TigerGraph’s geospatial analytics solution enables real-time insights from massive connected location data. It seamlessly integrates transactional, sensor, customer movement, and IoT information. By performing deep link graph traversals—over six hops—TigerGraph uncovers hidden relationships between people, places, and events, driving use cases such as location-based offers, ride-hailing optimization, IoT decision-making, and more.

Features and Capabilities

• Scalable Graph Traversal: Handles multi-hop queries on large graphs to detect intricate geospatial relationships.
• Real-time Analysis: Continuously processes live data (e.g., mobile location or vehicle telemetry) to deliver instant insights.
• IoT Integration: Correlates sensor, switch, and router data with geolocation for connected-device intelligence.
• Transactional + Analytical Workloads: Supports mixed OLTP/OLAP use cases without restructuring schemas.
• Pattern Detection: Identifies mobility and behavior patterns—e.g., distinguishing weekday vs weekend routines.
• Customized Offers: Generates real-time, location-based recommendations by linking customer purchase history and current position.
• Deep Link Queries: Executes complex traversals (6+ hops) across entities like time, product, location, and customer.
• Seamless Cloud Deployment: Operates on TigerGraph Cloud or self-managed environments, built on native parallel architecture.