TigerGraph
TigerGraph is a native, massively parallel processing (MPP) graph database designed for real-time deep link analytics on large, interconnected datasets. It leverages its proprietary graph storage and processing engine, along with the graph query language GSQL, to deliver high performance for…
Key facts
- First appeared
- 2017
- Category
- database
- Problem solved
- TigerGraph was created to solve the limitations of traditional relational databases and early graph databases in performing real-time, deep, multi-hop analytics and traversals on large-scale, highly interconnected datasets. These older systems struggled with performance, scalability, and expressiveness for graph-specific problems like fraud detection, recommendation engines, and supply chain optimization.
- Platforms
- web, Linux, Cloud (AWS, Azure, GCP via managed service or self-hosted), Docker/Kubernetes (for deployment)
Related technologies
Notable users
- UnitedHealth Group
- Ant Group
- China Mobile
- JPMorgan Chase
- Intuit
- Comcast
- Standard Chartered