Building your streaming analytics applications has never been easier and faster than with Ververica Cloud, a fully-managed cloud-native service for real-time data processing. Effortlessly develop and deploy your applications in the cloud, without worrying about the underlying infrastructure.
Leverage its ultra-fast performance, fault tolerance, elasticity, and data connectivity along with the built-in SQL editor to create your real-time applications for security, IoT, analytics, machine learning, and more.
Based on Apache Flink, an industry-standard framework for stream processing, used by tech giants such as Uber, Ebay, Alibaba, and more.
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The Enterprise Stream Processing Platform available on-premise or in the private cloud.
Enjoy the ultimate security and data protection by keeping your streaming analytics in-house. Ververica Platform drastically simplifies streaming apps’ development and operations, enabling enterprises to derive immediate insight from their data in real-time, with privacy.
Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics at scale.
Ultra-high performance cloud-native service for real-time data processing based on Apache Flink
Integrated platform for stateful stream processing & analytics with Apache Flink.
Build & deploy with confidence backed by Ververica’s Apache Flink experts.
Learn from the original creators of Apache Flink®
The Apache Flink PMC is pleased to announce the release of Apache Flink 1.19.0. As usual, we are looking at a packed release with a wide variety of improvements and new features. Overall, 162 people contributed to this release, including our very own Release Manager, Jing Ge (Head of Engineering). In this release a total of 33 FLIPs were completed along with 600+ issues
Imagine an e-commerce company operating globally, we want to see, in near real-time, the amount of revenue generated per country while the order management system is processing ongoing customer orders. Order data is stored in streaming sources like Kinesis or Kafka.
In October, at Flink Forward 2023, Streamhouse was officially introduced by Jing Ge, Head of Engineering at Ververica. In his keynote, Jing highlighted the need for Streamhouse, including how it sits as a layer between real-time stream processing and Lakehouse architectures, and discussed the business value it provides.
Check out the newest features! The latest update to Ververica Platform has now been released and is generally available (GA) for all users.
This release includes several new, exciting features and other improvements requested by the community. Below is a quick summary. Full details can be found in the 2.12.0 release notes.
The wait is over! You can now access every available session from Flink Forward Seattle 2023 on-demand at Ververica Academy.
Flink Forward is *the* conference dedicated entirely to Apache Flink®, and past events have included speakers, sessions, and attendees from companies like Uber, Lyft, Stripe, Netflix, and many more.
As the original creators of Apache Flink®, Ververica is proud to support technologies that enhance the capabilities of Flink. With this in mind, we’re excited to highlight the release of Apache Paimon Version 0.6! Congratulations to the Apache Software Foundation and the community for this accomplishment.