Ververica Platform
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.
Ververica Platform
Integrated platform for stateful stream processing & analytics with Apache Flink.
Apache Flink Support
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”
The Apache Flink® ConferenceSeattle 2023
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!
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Flink SQL: How to detect patterns with MATCH_RECOGNIZE
Ververica Platform makes Flink SQL more accessible and efficiently scalable across teams. This article is part of our series introducing you to Flink SQL and will cover the MATCH_RECOGNIZE function..png?width=1920&name=Blog%20-%201920x1080%20%20(6).png){kind=small}
Flink SQL: Queries, Windows, and Time - Part 2
This article will provide a more in-depth look at how to create a time window.
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Flink SQL: Queries, window and Time
Stream processing can be used for a variety of applications, such as monitoring systems, fraud detection, and any application that wants to provide real-time insights.png?width=600&name=www.ververica.comhubfsBlog%20(7).png){kind=small}
Flink SQL: Deduplication
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.
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How to run PyFlink Jobs and Python UDFs on Ververica Platform
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.
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Flink SQL: Joins Series 3 (Lateral Joins, LAG aggregate function)
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.
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Community Edition
- The easiest way to get started with Apache Flink
- An integrated platform for development & operations of Flink SQL
- Application lifecycle management for Apache Flink
- Free of charge & free for commercial use
Stream Edition
- Enterprise-grade stream processing with Apache Flink
- SLA-driven support by the Original Creators of Apache Flink
- Multi-Tenancy, Authentication & Role-Based Access Control
- Auto-Scaling for Apache Flink