The Enterprise Stream Processing Platform by the Original Creators of Apache Flink®
Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real-time.
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.
Integrated platform for stateful stream processing & analytics with Apache Flink.
Build & deploy with confidence backed by Ververica’s Apache Flink experts.
“When we migrated to Kubernetes with Ververica Platform it was much easier for our developers to define and configure jobs, as well as manage and monitor them in an integrated and efficient manner”
Flink Forward is the conference dedicated to Apache Flink and the stream processing community.
We’re excited to announce the 2023 Flink Forward event will be taking place November 6-8 in Seattle for an in-person event!
This article will provide a more in-depth look at how to create a time window.
Flink SQL has emerged as the de facto standard for low-code data analytics. It has managed to unify batch and stream processing while simultaneously staying true to the SQL standard.
PyFlink is a Python API for Apache Flink. It provides a way to write Flink programs in Python and execute them on a Flink cluster.
Flink SQL has emerged as the de facto standard for low-code data analytics. It has managed to unify batch and stream processing while simultaneously staying true to the SQL standard.