Ververica Case Studies
Find out how organizations across every industry and size use Ververica's Unified Streaming Data Platform
for their stream processing needs.

Airbus
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.
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booking.com
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.
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FinTech Studios
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.
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One Mount Group
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.
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XM Cyber
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.
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Humn.ai
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.
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VIPKid
VIPkid uses Ververica Platform on Alibaba Cloud to provide real-time feedback on learning experiences and efficiently optimise the quality of their online courses.
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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
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Global Bank Achieves 90% Cost Savings with Mainframe Offloading!
💡 What is Mainframe offloading? Mainframe offloading is the process of reducing the workload on... July 25, 2025 by Jaime López
Preventing Blackouts: Real-Time Data Processing for Millisecond-Level Fault Handling
💡What is real-time data processing, and why is it important for energy grid blackout prevention?... June 3, 2025 by Jaime López
Real-Time Fraud Detection Using Complex Event Processing
💡 What is real-time fraud detection, and how does it benefit the financial industry? Real-time... May 28, 2025 by Giannis Polyzos
VERA-X: Introducing the First Native Vectorized Apache Flink® Engine
Redefining Speed and Efficiency in Apache Flink with VERA-X Apache Flink® is the standard for... October 15, 2025 by Ben Gamble
KartShoppe: Real-Time Feature Engineering With Ververica
This is a story based on a real business use case, featuring an e-commerce company (“KartShoppe”)... March 13, 2025 by Giannis Polyzos
Real-Time Insights for Airlines with Complex Event Processing
Introduction Businesses are embracing real-time data processing to better handle their... November 25, 2024 by Giannis Polyzos
From Kappa Architecture to Streamhouse: Making the Lakehouse Real-Time
The demand for real-time insights has transformed how businesses approach data architectures. Over... December 19, 2024 by Giannis Polyzos
The Streamhouse Evolution
A Glimpse Into the House of Streams In addition to being the heart of Ververica’s Streaming Data... October 3, 2024 by Giannis Polyzos
Streamhouse: Data Processing Patterns
Introduction In October, at Flink Forward 2023, Streamhouse was officially introduced by Jing Ge,... January 5, 2024 by Giannis Polyzos
Ververica Platform 3.0: The Turning Point for Unified Streaming Data
The world of data has been changing rapidly. In 2025, businesses need to make decisions in real... October 15, 2025 by Vladimir Jandreski
Introducing Apache Fluss™ on Ververica’s Unified Streaming Data Platform
The future of data lies in breaking down the barriers between batch and streaming. Ververica’s... October 15, 2025 by Ben Gamble
VERA-X: Introducing the First Native Vectorized Apache Flink® Engine
Redefining Speed and Efficiency in Apache Flink with VERA-X Apache Flink® is the standard for... October 15, 2025 by Ben Gamble
Ververica Platform 3.0: The Turning Point for Unified Streaming Data
The world of data has been changing rapidly. In 2025, businesses need to make decisions in real... October 15, 2025 by Vladimir Jandreski
Introducing Apache Fluss™ on Ververica’s Unified Streaming Data Platform
The future of data lies in breaking down the barriers between batch and streaming. Ververica’s... October 15, 2025 by Ben Gamble
VERA-X: Introducing the First Native Vectorized Apache Flink® Engine
Redefining Speed and Efficiency in Apache Flink with VERA-X Apache Flink® is the standard for... October 15, 2025 by Ben GambleLet’s Talk
Ververica's Unified Streaming Data Platform helps organizations to create more value from their data, faster than ever. Generally, our customers are up and running in days and immediately start to see positive impact.
Once you submit this form, we will get in touch with you and arrange a follow-up call to demonstrate how our Platform can solve your particular use case.