CNBC AI News – May 20, 2025 – The International Linked Data Benchmark Council (LDBC) has unveiled groundbreaking results in its latest Social Network Benchmark (SNB) Interactive assessment, marking a transformative moment for graph computing performance.
In a revelation that could reshape enterprise computing strategies, Alibaba Cloud’s GraphScope Flex has shattered industry benchmarks by achieving an unprecedented throughput of 80,510 queries per second (QPS) – nearly doubling competing solutions in the declarative query category.
This quantum leap in graph processing capabilities arrives as organizations across financial services, e-commerce, and cybersecurity grapple with exponentially growing relationship data. The technology’s potential to instantly map complex networks offers game-changing applications for real-time fraud detection, personalized recommendation systems, and risk mitigation frameworks.
“What we’re witnessing here transcends conventional benchmarking,” observed LDBC researchers. “GraphScope Flex has not only surpassed imperative query performance through automated optimization, but significantly lowered the technical barriers for enterprise adoption of graph technologies.”
The breakthrough stems from systemic innovations across hardware-software stacks, featuring:
- Next-generation memory architecture enabling sub-millisecond latency
- Dynamic workload scheduling optimizations
- A proprietary GOpt framework that revolutionizes cardinality estimation through advanced statistical modeling
Notably, the research underpinning these advances has been accepted for presentation at SIGMOD 2025 – the premier international conference on database management systems – signaling both academic and commercial validation of Alibaba Cloud’s approach.
The SNB benchmark, modeled on real-world social network complexity, evaluates systems across 28 challenging workloads including multi-hop traversals, shortest path calculations, and real-time updates. Achieving top scores here has become a critical benchmark for organizations selecting graph technologies – a market projected to reach $10B by 2030 according to Gartner analysts.
As enterprises architect next-generation decision engines, these results suggest we may soon see widespread adoption of graph-based solutions that were previously constrained by technical complexity and performance limitations. The race for real-time relationship intelligence has clearly entered a new era.
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