Big Data 5 min read

Ant Group's TuGraph Passes Trusted Big Data Evaluation and Becomes First Certified Graph Computing Platform

Ant Group’s large‑scale graph computing system TuGraph recently passed the China Academy of Information and Communications Technology’s Trusted Big Data assessment, becoming one of the first graph platforms certified for basic capabilities, compatibility, management, high availability and scalability, and highlighting its critical role in financial risk control.

AntTech
AntTech
AntTech
Ant Group's TuGraph Passes Trusted Big Data Evaluation and Becomes First Certified Graph Computing Platform

Recently, the China Academy of Information and Communications Technology (CAICT) released a new batch of Trusted Big Data evaluation results and officially presented certificates at the 2022 Big Data Industry Summit in Beijing.

Ant Group’s large‑scale graph computing system TuGraph passed the Trusted Big Data graph computing platform basic capability assessment, marking the first time CAICT evaluated a graph computing system and making TuGraph one of the first platforms to receive this certification.

Since its launch in 2014, CAICT’s Trusted Big Data product capability assessment has become a widely recognized authority in China’s big data field, serving as a benchmark for both product developers and purchasers.

The current graph computing platform assessment examined TuGraph V3’s basic functions, compatibility, management, high‑availability and extensibility, all of which met the required test criteria, indicating that TuGraph satisfies data‑processing standards in the information‑communication sector.

Ant Group began exploring graph computing in 2015, developing an advanced graph computing architecture with industry‑leading cluster scale and performance.

In September 2021, Ant collaborated with Tsinghua University to independently develop the large‑scale graph computing system GeaGraph, which was recognized as a leading global internet technology achievement and upgraded to TuGraph in December.

After years of development, TuGraph has become a core infrastructure for Ant Group’s financial risk‑control capabilities, forming an essential part of its comprehensive graph‑based risk management system.

Its deployment has increased Alipay’s critical risk‑identification ability by nearly 100× and improved risk review efficiency by 90%; in anti‑fraud scenarios, the system can complete the entire process from fraud detection to a “wake‑up call” within 0.1 seconds.

At the 2022 Big Data Industry Summit, CAICT’s Cloud Computing and Big Data Institute director He Baohong released the ‘2022 Big Data Top Ten Keywords’, with graph computing platforms featured among them.

Graph computing is regarded as a cutting‑edge technology with significant application value and prospects in finance, manufacturing, energy and other sectors.

“Graph computing is not just a technology, but a new way of understanding the world,” said Chen Wenguang, Ant Group’s graph computing lead and professor at Tsinghua University. TuGraph now serves hundreds of scenarios within Ant Group and is being offered to industries such as energy and telecommunications.

Ant Group will continue to deepen its graph computing research, open‑source its graph database technology, and collaborate with the industry to achieve further breakthroughs and build a shared technology ecosystem.

Watch a short video to learn more about TuGraph.

Big Datagraph computingAnt GroupTuGraphTrusted Data
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