Apache Flink powers business-critical applications in many companies and enterprises around the globe. On this page, we present a few notable Flink users that run interesting use cases in production and link to resources that discuss their applications in more detail.
Amazon Kinesis Data Analytics, a fully managed cloud service for stream processing, uses Apache Flink in part to power its Java application capability.
Comcast, a global media and technology company, uses Flink for operationalizing machine learning models and near-real-time event stream processing. Learn about Flink at Comcast
Criteo is the advertising platform for the open internet and uses Flink for real-time revenue monitoring and near-real-time event processing. Learn about Criteo's Flink use case
Didi Chuxing (“DiDi”), the world's leading mobile transportation platform, uses Apache Flink for real-time monitoring, feature extraction, and ETL.
Learn about Didi's Flink use case
Ebay's monitoring platform is powered by Flink and evaluates thousands of customizable alert rules on metrics and log streams. Learn more about Flink at Ebay
Lyft uses Flink as processing engine for its streaming platform, for example to consistently generate features for machine learning. Read more about Streaming at Lyft
OPPO, one of the largest mobile phone manufacturers in China, build a real-time data warehouse with Flink to analyze the effects of operating activities and short-term interests of users. Read more about how OPPO is using Flink
Tencent, one of the largest Internet companies, built an in-house platform with Apache Flink to improve the efficiency of developing and operating real-time applications. Read more about Tencent's platform.
Xiaomi, one of the largest electronics companies in China, built a platform with Flink to improve the efficiency of developing and operating real-time applications and use it in real-time recommendations. Learn more about how Xiaomi is using Flink.