How Tencent Cloud’s Big Data Platform Ranked in China’s Fifth Evaluation

China’s Data Center Alliance released its fifth big‑data product evaluation, testing 17 solutions from 16 vendors across SQL, NoSQL, and machine‑learning workloads, with Tencent Cloud’s platform achieving top rankings in NoSQL tests and highlighting the nation’s push toward standardized, high‑performance big‑data infrastructure.

Tencent Cloud Developer
Tencent Cloud Developer
Tencent Cloud Developer
How Tencent Cloud’s Big Data Platform Ranked in China’s Fifth Evaluation

Under the guidance of the Ministry of Industry and Information Technology, the Data Center Alliance released the fifth batch of big‑data product evaluation results, covering 17 products from 16 suppliers, including leading cloud providers and traditional big‑data platform vendors.

The evaluation tested Hadoop‑based platforms on three dimensions: SQL performance (10 queries), NoSQL performance (three HBase test cases), and machine‑learning workloads (SVM and K‑means). Tencent Cloud’s big‑data platform secured first place in two of the three NoSQL tests and ranked near the top in the other categories.

The assessment, organized by the Data Center Alliance and executed by the China Academy of Information and Communications Technology, is the most comprehensive and technically advanced domestic big‑data testing framework. It identifies the first‑tier domestic big‑data infrastructure vendors and serves as an authoritative reference for government and industry users when selecting products, as well as a development direction guide for vendors.

2017 is a pivotal year for China’s national big‑data strategy, with rapid growth in product and service procurement. The Ministry has been actively promoting a big‑data standards system, and this competition reflects that policy. Tencent Cloud is the only large‑internet enterprise among the first batch of certified foundational big‑data products, contributing to national standards under the Ministry’s guidance.

Tencent’s big‑data capabilities stem from massive data accumulated through services such as QQ, QQ Space, and WeChat. By the end of 2015, these services had processed over 5 trillion data accesses, 100 billion data deliveries, 200 PB of storage, 15 PB of offline computation, 3.5 trillion real‑time computations, and 5 million task schedules, forming a solid foundation for its cloud big‑data offerings.

Since launching its first internal Hadoop cluster in 2009, Tencent Cloud’s big‑data product has undergone multiple iterations, incorporating optimized community components and self‑developed modules. Users can deploy big‑data services on demand for use cases such as reporting, analytics, data visualization, mining, and comprehensive data applications.

Tencent Cloud’s “Data‑Intelligence Strategy” integrates a big‑data platform, intelligent recommendation, digital marketing, and data visualization, providing enterprises and developers with a complete big‑data solution that is open‑source, multi‑environment deployable, secure, compliant, and backed by extensive operational experience.

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Big DataPerformance EvaluationTencent CloudData PlatformsIndustry Benchmark
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