TigerGraph Scales Out the Graph Database

TigerGraph is distinguishing itself with its ability to handle problems such as incorporating machine learning to root out fraud in real time for a large Chinese mobile carrier whose network spans nearly a half-billion smartphones. While the brunt of its early customer base is large global enterprises, TigerGraph's roadmap includes configuring its platform to reach a wider audience of midsize customers. 

Key messages:

  • TigerGraph differentiates itself by its ability to handle highly scaled graph computing problems
    through a unique distributed processing approach.
  • Its massively parallel processing (MPP)-designed database can handle complex queries,
    traversing multiple links or hops, without having to break the problem and data set down and
    execute it in separate runs.
  • TigerGraph's challenge will be establishing its unique query engine as the new de facto standard.