Ververica Platform Case Study

Ververica was tasked with providing a solution to support Airbus, a leading aircraft manufacturer, in deploying their Apache Flink® jobs at scale. Their existing custom-built Java solution required manual handling of jobs and unexpected interruptions, making it difficult to maintain efficiency and keep costs low.

Booking.com, a leading travel ecosystem serving both partners and travelers, faced challenges with processing security data streams and orchestrating Flink applications with stateful upgrades and multi-tenancy requirements. 

As a technology-first organization, FinTech Studios leverages Ververica Platform to ingest millions of research, news and regulatory sources in real-time and build an AI-based intelligent search and analytics platform for financial services professionals.

By utilizing Ververica Platform, One Mount Group set up a Platform-as-a-Service offering for Apache Flink to enable the company’s tech team to deploy and manage its Flink applications easily.

XM Cyber, a leading hybrid cloud security company founded by top executives from the Israeli cyber intelligence community, is a technology leader in its approach to cyber risk.

Humn.ai uses Ververica Platform and Apache Flink to build a Machine Learning-based platform producing dynamic risk assessment models and real-time pricing for tomorrow’s insurance industry.

VIPkid uses Ververica Platform on Alibaba Cloud to provide real-time feedback on learning experiences and efficiently optimise the quality of their online courses.

In the different sections of the case study, Weibo's Machine Learning platform is introduced. Its architecture is revealed, focusing on how Machine Learning pipelines are developed in real-time using Apache Flink and Ververica Platform