TigerGraph announced it has secured $31 million in Series A financing. Seven investors participated in the round: Qiming Ventures, Ant Financial, AME Cloud Ventures, Morado Venture Partners, Danhua Capital and Data Collective.
TigerGraph is developing “native parallel graph technology,” a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. According to the company, its platform is able to traverse hundreds of million of vertices per second per machine, and it can load 50 to 150 gigabytes of data per hour per machine.
Enterprise IT Startup TigerGraph Closes $31 Million
