Blog
Apache Flink, stream processing, event-driven applications, and more.

A Journey to Beating Flink's SQL Performance
This article provides performance details & tuning tips for dimensional S...

How to manage your RocksDB memory size in Apache Flink
This blog post describes some configuration options that will help you ef...

Ververica Platform Multitenancy: deployment isolation on OpenShift
This post covers how Ververica Platform achieves isolation of resources a...

Application Log Intelligence & Performance Insight at Salesforce using Flink
This post gives a high-level overview of how Salesforce uses Apache Flink...

How SK telecom democratizes streaming data with FLOW and Flink
FLOW is an abstraction layer on top of Flink allowing teams at SK telecom...

Replayable Process Functions: Time, Ordering, and Timers
This use case shows how Bird uses Flink to detect when scooters go offlin...

Real-time Experiment Analytics at Pinterest using Apache Flink
This post explains how the team at Pinterest developed a real-time experi...

Announcing Stateful Functions: Distributed State, Uncomplicated
We are thrilled to announce the launch of Stateful Functions, an open sou...

Flink Forward Session Preview: Streaming Event-Time Partitioning With Apache Flink and Apache Iceberg at Netflix
In this post, Julia Bennet from Netflix will give a sneak preview of her ...
Let’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.