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Tencent Cloud Launches Tencent Cloud DataBuddy, an Agent-Native Data + AI Workbench

Tencent Cloud Launches Tencent Cloud DataBuddy, an Agent-Native Data + AI Workbench

Tencent Cloud Construction, Operation & Maintenance | Digital Infrastructure Development for China | Beyond Inc

Tencent Cloud, the cloud business of global technology company Tencent, announced the official launch of Tencent Cloud DataBuddy, its third assistant-class product alongside Tencent CodeBuddy and WorkBuddy — a fully managed, agent-native Data + AI workbench. Tencent Cloud DataBuddy integrates intelligent agents directly into the platform as core components that understand business logic, execute operational tasks, and function within a trusted, governed framework.

Tencent Cloud DataBuddy currently supports four primary agent scenarios: Data Engineering (end-to-end pipeline delivery from a single natural-language request, with self-healing), Data Governance (warehouse-wide health checks across metadata, lineage, quality, and security), Data Analytics (instant conversational insights with automated root-cause analysis), and Data Science (data and AI on one foundation, reducing model deployment from 30 days to 7).

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The platform’s capabilities are built on three core foundations: Unity Semantics, a business semantic layer delivering 95.9% analysis accuracy versus 83.5% for plain Natural Language to SQL (NL2SQL); an Agent Runtime layer engineered to enable enterprises to run their AI agents with governance, auditability and data controls built in; and OneOps, which unifies DataOps, MLOps, and AIOps in one platform. Together, these solutions deliver 5x to 10x efficiency gains across data teams.

Tencent Cloud DataBuddy is currently available in markets including China, Thailand, South Korea, and Indonesia, with ongoing rollouts in markets across Europe, North America and South America. Enterprises can connect their existing OLAP engines with zero data movement, or adopt the unified storage and compute platform to unlock key analytical and operational scenarios while retaining full control over data sovereignty.

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