
TigerGraph is a scalable graph analytics platform that enables real-time analysis of complex relationships in large datasets. It supports advanced in-database analytics, machine learning integration, and combines graph and vector search. Key tools include GSQL query language and GraphStudio visual development. Deployment options range from cloud-native managed services to on-premises. Common use cases include fraud detection, customer 360, recommendation engines, supply chain optimization, and cybersecurity threat detection.
Vendor
Tigergraph
Company Website
- Ai and Machine Learning
Native MPP graph database powering scalable AI/ML with real-time feature engineering and explainable insights.
- Anti Money Laundering (AML)
TigerGraph AML solution delivers advanced graph analytics to detect and prevent money laundering efficiently.
- Connectors
TigerGraph Connectors enable seamless integration between TigerGraph and popular data platforms for powerful graph analytics.
- Customer 360
Real-time unified customer profiles with scalable, graph-based MDM for accurate 360-degree insights.
- Cybersecurity Threat Detection
Real-time cybersecurity threat detection using advanced graph analytics to uncover hidden attack patterns and anomalies.
- Energy Management System
Energy Management System leveraging TigerGraph’s real-time graph analytics to optimize energy networks and operations.
- Entity Resolution
TigerGraph Entity Resolution empowers organizations to unify disparate data, revealing accurate, actionable insights.
- Fraud Detection and Protection
Powerful real-time graph analytics platform to detect and prevent fraud across complex networks efficiently.
- Geospatial Data
TigerGraph Geospatial Analytics: Real‑time location‑based insights via deep link graph traversal.
- Graph Data Science Library
TigerGraph Graph Data Science Library empowers scalable graph analytics and advanced data science workflows.