tencent cloud

Tencent Cloud DataBuddy
Tencent Cloud DataBuddy is an agent-native platform that unifies data and AI. It takes work from raw data to production AI end to end, turning the big data platform from a set of tools people operate into a workforce of AI agents you simply talk to—with humans in the loop.
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FEATURE
Built for Data and AI
Data and AI, Natively Unified

Data engineering, governance, and AI development run on one platform, on a single metadata and lineage foundation. No more patchwork of tools

Data and AI, Natively Unified

Data engineering, governance, and AI development run on one platform, on a single metadata and lineage foundation. No more patchwork of tools

A Semantic Foundation for Agents

A unified semantic layer, fine-grained access control, and MCP-native tools make data directly consumable by agents, reducing the risk of hallucination

A Semantic Foundation for Agents

A unified semantic layer, fine-grained access control, and MCP-native tools make data directly consumable by agents, reducing the risk of hallucination

Production-Ready, End to End

DataBuddy delivers production-grade agents across engineering, governance, and analytics—from copilot to autopilot to multi-agent collaboration

Production-Ready, End to End

DataBuddy delivers production-grade agents across engineering, governance, and analytics—from copilot to autopilot to multi-agent collaboration

Data and AI, Natively Unified

Data engineering, governance, and AI development run on one platform, on a single metadata and lineage foundation. No more patchwork of tools

A Semantic Foundation for Agents

A unified semantic layer, fine-grained access control, and MCP-native tools make data directly consumable by agents, reducing the risk of hallucination

Production-Ready, End to End

DataBuddy delivers production-grade agents across engineering, governance, and analytics—from copilot to autopilot to multi-agent collaboration

SCENARIO
Tell Buddy Once Watch Things Happen
Data Engineering Agent
Data Governance Agent
Data Analytics Agent
Data Engineering Agent
Design data warehouse layers through conversation, generate SQL/Notebook code, orchestrate DAGs automatically, and publish with one click. Eliminate 80% of repetitive engineering work.
How it helps
  • Reduce repetitive development by 80%
  • Increase individual productivity by 5–10x
Try It Now
Data Governance Agent
Automatically scan for data quality anomalies and sensitive data risks, intelligently identify root causes, and remediate at scale. Remediation experience is automatically distilled into governance rules—the more you use it, the smarter it gets. Eliminate 80% of manual governance inspections.
How it helps
  • Reduce manual governance work by 80%
  • Increase individual productivity by 5–10x
Try It Now
Data Analytics Agent
Query data directly in natural language, automatically drill down across dimensions and attribute anomalies, and generate chart-based reports with one click. Move from question to insight in minutes, so analysts can focus on thinking rather than manual work.
How it helps
  • Deliver insights from questions in minutes
  • Increase individual productivity by 5–10x
Try It Now
One Lakehouse. Clearer Insights. Smarter Governance.
DataBuddy Unified Lakehouse Architecture

Serverless compute + multimodal storage + unified data catalog

Standard SQL enables federated queries across data sources, while shared table formats unify batch and streaming workloads—eliminating 80% of data movement and O&M work.

* Eliminate 80% of data movement / O&M

* Scale compute elastically in seconds

From Industry Challenges to Intelligent Breakthroughs
Order Delivery Time Prediction

Use multidimensional logistics data to intelligently predict order delivery times.

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Product Sales Forecasting

Leverage historical sales, inventory, and regional demand data to intelligently forecast product sales and enable dynamic replenishment.

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Customer Feedback Sentiment Analysis

Leverage customer feedback and after-sales data to perform sentiment analysis and intelligently identify issue trends.

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Intelligent Product Recommendations

Leverage user behavior and content characteristics to deliver precise content recommendations and improve conversion rates.

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Daily Credit Risk Indicator Reporting

Automate the entire data warehouse pipeline, from transaction data extraction to report generation, with anomaly alerts configured.

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Urgent Data Definition Changes for Major Promotions

Leverage Git version control and multi-environment isolation to publish data definition changes from modification to production in minutes.

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    BENEFIT
    Industry Solutions
    Gaming Data+AI
    Built for Growth
    Built on Tencent Cloud DataBuddy, connect player behavior, content and gameplay, monetization, and operations data to support retention growth, paid conversion, content optimization, and intelligent operations.
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    Retail Data+AI
    From Insight to Growth
    Built on Tencent Cloud DataBuddy, connect omnichannel data, model development, and business applications to support membership growth, intelligent replenishment, store operations, and business decision-making.
    View details
    Gaming Data+AI
    Built for Growth
    Built on Tencent Cloud DataBuddy, connect player behavior, content and gameplay, monetization, and operations data to support retention growth, paid conversion, content optimization, and intelligent operations.
    View details
    Retail Data+AI
    From Insight to Growth
    Built on Tencent Cloud DataBuddy, connect omnichannel data, model development, and business applications to support membership growth, intelligent replenishment, store operations, and business decision-making.
    View details
    FAQS

    Frequently

    asked questions

    What Is the Big Data Agent Workbench DataBuddy?

    Tencent Cloud DataBuddy is an agent-native integrated Data + AI platform that delivers data work and intelligent development end to end, transforming big data platforms from "tools operated by people" to "delivery through conversation, with AI workers providing oversight."

    What Capabilities Does the Big Data Agent Workbench DataBuddy Provide?

    The Big Data Agent Workbench DataBuddy delivers capabilities across four core scenarios: 1. For data engineering, it supports data ingestion, data warehouse layering, ETL orchestration, and scheduling through conversation; 2. For data governance, it supports metric development, metadata enrichment, and quality monitoring; 3. For data analytics, it supports rapid data retrieval, analytical report generation, metric fluctuation attribution, and visual dashboard creation, significantly lowering the barrier to analytics; 4. For data science, it supports token integration, feedback ingestion, and governance through AI Gateway, as well as model training, experimentation, model management, and service deployment.

    What Types of Data Sources Does the Big Data Agent Workbench DataBuddy Support?

    The Big Data Agent Workbench DataBuddy supports a variety of cloud-based and self-hosted data sources, including:

    • Relational databases: MySQL, PostgreSQL, Oracle, SQL Server, IBM DB2, Dameng DM, SAP HANA, and more.
    • Big data storage: Hive, HDFS, HBase, Kudu, ClickHouse, DLC, Impala, GBase, TBase, and more.
    • Semi-structured data: FTP, SFTP, COS.
    • NoSQL: Redis, Elasticsearch.
    • Message queues: Kafka, and more.
    FAQS

    Frequently

    asked questions

    What Is the Big Data Agent Workbench DataBuddy?

    Tencent Cloud DataBuddy is an agent-native integrated Data + AI platform that delivers data work and intelligent development end to end, transforming big data platforms from "tools operated by people" to "delivery through conversation, with AI workers providing oversight."

    What Capabilities Does the Big Data Agent Workbench DataBuddy Provide?

    The Big Data Agent Workbench DataBuddy delivers capabilities across four core scenarios: 1. For data engineering, it supports data ingestion, data warehouse layering, ETL orchestration, and scheduling through conversation; 2. For data governance, it supports metric development, metadata enrichment, and quality monitoring; 3. For data analytics, it supports rapid data retrieval, analytical report generation, metric fluctuation attribution, and visual dashboard creation, significantly lowering the barrier to analytics; 4. For data science, it supports token integration, feedback ingestion, and governance through AI Gateway, as well as model training, experimentation, model management, and service deployment.

    What Types of Data Sources Does the Big Data Agent Workbench DataBuddy Support?

    The Big Data Agent Workbench DataBuddy supports a variety of cloud-based and self-hosted data sources, including:

    • Relational databases: MySQL, PostgreSQL, Oracle, SQL Server, IBM DB2, Dameng DM, SAP HANA, and more.
    • Big data storage: Hive, HDFS, HBase, Kudu, ClickHouse, DLC, Impala, GBase, TBase, and more.
    • Semi-structured data: FTP, SFTP, COS.
    • NoSQL: Redis, Elasticsearch.
    • Message queues: Kafka, and more.