Blog
Apache Flink, stream processing, event-driven applications, and more.
Dev test post 1 (Clone) 2 Lorem ipsum dolor sit ammet 4
New release enables Apache Flink users to address new mixed batch/stream New release enables Apache Flink users to address new mixed batch/stre...
The Apache Flink Story at Pinterest - Flink Forward Global 2021
At Flink Forward Global 2021, Chen Qin will deliver a keynote on how Pint...
Troubleshooting Apache Flink with Byteman
This article provides a brief introduction to Byteman and how you can use...
Announcing Ververica Platform 2.5 for Apache Flink 1.13
Ververica Platform 2.5 brings full support for Flink 1.13, greatly expand...
SQL Query Optimization with Ververica Platform 2.4
In this article, we show a few Apache Flink SQL queries and work with cha...
The Impact of Disks on RocksDB State Backend in Flink: A Case Study
This post illustrates a throughput drop problem of a Flink job using Rock...
An Overview of Apache Flink's Deployment Modes
The article discusses the available deployment modes in Apache Flink and ...
Announcing Ververica Platform 2.4
Introducing Ververica Platform 2.4 which adds full support for Flink SQL...
Introducing StreamBurst as a Ververica Partner in South Africa
We are excited to introduce StreamBurst as a Ververica Partner in South A...
Simplifying Ververica Platform SQL Analytics with UDFs
This blog post describes how to do SQL analytics with user-defined functi...
Let’s talk
Ververicas Streaming Data Platform allows organizations to connect, process, analyze, and govern continuous streams of data in real-time. Our Platform enables businesses to derive insights, make decisions,