What is TigerGraph?
TigerGraph is an enterprise-grade AI-powered graph database platform designed to help organizations uncover hidden relationships within their data. Unlike traditional databases that store data in isolation, TigerGraph connects data points to reveal meaningful patterns and insights that drive business decisions. The platform offers unlimited parallel storage and computation capabilities to handle complex analytical workloads at scale.
The technology enables real-time deep link querying and hybrid graph+vector search functionality, allowing users to perform sophisticated analyses across connected data sets. With its graph data science library and AI/ML capabilities, TigerGraph supports various business applications including fraud detection, entity resolution, anti-money laundering, customer 360, recommendation engines, and supply chain optimization. The platform claims to deliver performance up to 1000x faster than traditional database systems for connected data queries.
Features
- Hybrid Graph+Vector Search: Combines graph and vector search capabilities for comprehensive data analysis
- Graph Data Science Library: Includes pre-built AI/ML algorithms for graph analytics
- Real-Time Deep Link Querying: Enables immediate analysis of complex data relationships
- Unlimited Parallel Computation: Supports scalable processing of large connected data sets
- Multiple Query Languages: Supports GSQL, Cypher, and GQL for flexible data access
Use Cases
- Fraud detection and financial crime prevention
- Entity resolution and customer 360 analysis
- Anti-money laundering (AML) compliance
- Product and service recommendation engines
- Supply chain optimization and bottleneck identification
- Cybersecurity threat detection and analysis
- Network resource optimization
- Customer journey mapping and optimization
