How WeddingJoy Scaled Its Data Platform with Alibaba Cloud DataWorks

WeddingJoy’s Data Mission

WeddingJoy, launched by Hangzhou Huoshaoyun Technology Co., Ltd., is a SaaS platform covering the entire wedding industry chain, serving over 20 million couples and more than 200,000 merchants annually. It aims to provide an all‑in‑one service ecosystem and builds a digital foundation for merchants’ management, marketing analysis, and supply‑chain collaboration.

Key Data Challenges

User behavior analysis processing 4‑5 billion logs daily to construct multi‑dimensional user profiles.

Management of a tens‑of‑millions‑scale wedding photo asset library supporting VR tours, reviews, and visual search.

Transaction hub handling over 100 billion‑level yearly transactions with millisecond‑level discount verification, intelligent settlement, and dynamic risk control.

Rapid digital transformation raised issues such as unclear data lineage, inconsistent metric definitions, and unstable scheduling systems.

Why DataWorks?

To solve these problems, WeddingJoy evaluated solutions and selected Alibaba Cloud DataWorks, a one‑stop big‑data development and governance platform offering full‑lifecycle data management, integrated Data+AI capabilities, and flexible enterprise‑level features.

Alibaba Cloud Solution

Using DataWorks, WeddingJoy built a layered data warehouse, standardized data models, and established a metric system. Logs and business data are ingested into an OSS‑HDFS data lake via DataWorks integration. Offline processing uses Spark and Hive, while real‑time data flows through Flink into a Paimon lake, forming a lake‑warehouse architecture. Interactive analysis is performed with Trino and Doris. Development, scheduling, and operations are unified in DataWorks Data Studio, providing full lineage, quality, and governance.

Intelligent Data Development Upgrade

DataWorks introduced workflow visual orchestration, supporting diverse task nodes and AI engine integration, enabling clear upstream‑downstream relationships and faster pipeline construction. Unified metadata management with smart table creation improved data‑engineering efficiency. Intelligent diagnostics enhanced task anomaly detection.

DataWorks Copilot Assistant

The Copilot AI assistant enables natural‑language SQL generation, optimization, testing, format conversion, language translation (e.g., Python UDF to Java), smart table discovery, and parameter parsing across multiple compute engines, significantly accelerating development.

Customer Testimony

"The migration to DataWorks Data Studio standardized our development process, increased efficiency, and stabilized scheduling. Data lineage is precise, dependency settings are easy, and development time for similar projects improved by 50%, achieving a leap in data development efficiency." – WeddingJoy Big Data Platform Team

Summary and Outlook

WeddingJoy’s enterprise‑grade big‑data platform built on DataWorks delivers efficient integration of multi‑source heterogeneous data, supporting precise marketing, intelligent advertising, risk control, and user behavior analysis. Future plans focus on deeper AI integration, Data+AI development, and DataWorks AI Agent to drive data‑driven services for millions of couples.