Recently, at the 2025 Shanghai Open Source Innovation Elite Forum, Apache DolphinScheduler was awarded the "Outstanding Open Source Project Award."
This big data workflow scheduling platform has become the core scheduling engine for over 3,000 enterprises worldwide, thanks to its technical breakthroughs and industry practices.
Technical Breakthrough: A Distributed Architecture with 20x Performance Boost
In DolphinScheduler 3.3.0 Alpha, the Master node was refactored and an event notification mechanism was introduced, boosting task processing performance by 20x.
The platform now supports over 100,000 tasks per day, with a distributed architecture capable of handling tens of thousands of concurrent task schedules.
With Zookeeper enabling automatic failover, system stability has reached 99.9%.
In Changan Automobile's intelligent connected vehicle operations, DolphinScheduler supports bidirectional data transfer in a hybrid cloud architecture, powering critical scenarios such as intelligent maintenance and battery failure prediction.
Ecosystem Practice: From Technical Tool to Industrial Ecosystem
The community has formed an ecosystem model that combines enterprise-grade solutions with deep industry integration.
WhaleOps, building on DolphinScheduler, launched a commercial edition called WhaleScheduler, which includes features like resource isolation and cross-cluster scheduling, and serves leading enterprises like CSC Financial and China Unicom.
In the practice of Daily Interactive, DolphinScheduler was integrated with ClickHouse to build a zero-pressure data ingestion platform, reducing data transfer time from 35 hours to just 1.5 hours — a 95% efficiency gain.
AI Empowerment: From Workflow Scheduling to Intelligent Decision-Making
In response to the AI wave, DolphinScheduler 3.3.0 Alpha introduced AI-based task prediction, which analyzes historical data to automatically optimize resource allocation, improving task execution efficiency by 30%.
It also partnered with DeepSeek to develop an intelligent alerting system that uses natural language processing to parse logs, reducing fault diagnosis time from hours to minutes.
Looking ahead, a cloud-native version is planned, which will support Kubernetes-native scheduling and Serverless architectures.
DolphinScheduler has achieved in just a few years what took Western projects two decades — a milestone of independent innovation in China's open-source technology.
With over 13.6k GitHub Stars, it consistently leads its category in daily scheduled task volume.
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