Thank you for your interest in TigerGraph: The First and Only Native Parallel Graph
The TigerGraph NPG is built around both local storage and computation, supports real-time graph updates, and works like a parallel computation engine. These capabilities provide the following unique advantages:
- Fast data loading speed to build graphs - able to load 50 to 150 GB of data per hour, per machine
- Fast execution of parallel graph algorithms - able to traverse hundreds of million of vertices/edges per second per machine
- Real-time updates and inserts using REST - able to stream 2B+ daily events in real time to a graph with 100B+ vertices and 600B+ edges on a cluster of only 20
