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TigerGraph is a distributed database and was designed from the ground up to scale seamlessly. Its innovative architecture provides:
- Fast data loading speed to build graphs - up to 150 GB of data per hour per machine.
- Quick execution of parallel graph algorithms - hundreds of million of vertices and edges traversed per second per machine.
- Real-time updates and inserts using REST - two billion daily events streamed in real-time to a graph with 100B+ vertices and 600B+ edges on a cluster of only 20 machines.
- Integration of real-time analytics and large scale offline data processing - the first and only such system.
Read this white paper to learn why TigerGraph enables organizations to achieve more with their data.