Apache Kafka

Top Trends for Data Streaming with Apache Kafka and Flink in 2026

Each year brings new momentum to the data streaming space. In 2026, six key trends stand out. Platforms and vendors…

7 days ago

The Data Streaming Landscape 2026

Data streaming is now a core software category in modern data architecture. It powers real-time use cases like fraud prevention,…

2 weeks ago

CARIAD’s Unified Data Platform: A Data Streaming Automotive Success Story Behind Volkswagen’s Software-Defined Vehicles

The automotive industry transforms rapidly. Cars are now software-defined vehicles (SDVs) that demand constant, real-time data flow. This post highlights…

3 weeks ago

Data Streaming Meets Lakehouse: Apache Iceberg for Unified Real-Time and Batch Analytics

Apache Iceberg is gaining momentum as the open table format of choice for modern data architectures. In this blog post,…

4 weeks ago

Data Streaming in Retail: Social Commerce from Influencers to Inventory

Social commerce is reshaping retail by merging entertainment, influencer marketing, and instant purchasing into one real-time experience. Platforms like TikTok…

1 month ago

Kafka Proxy Demystified: Use Cases, Benefits, and Trade-offs

A Kafka proxy adds centralized security and governance for Apache Kafka. Solutions like Kroxylicious, Conduktor, and Confluent enable encryption, access…

2 months ago

How Stablecoins Use Blockchain and Data Streaming to Power Digital Money

Stablecoins are reshaping digital money by linking traditional finance with blockchain technology. Built for stability and speed, they enable real…

2 months ago

Cybersecurity with a Digital Twin: Why Real-Time Data Streaming Matters

Cyberattacks on critical infrastructure and manufacturing are growing, with ransomware and manipulated sensor data creating severe risks. Digital twins combined…

2 months ago

How Siemens, SAP, and Confluent Shape the Future of AI Ready Integration – Highlights from the Rojo Event in Amsterdam

Many enterprises want to become AI ready but are limited by slow, batch based integration platforms that prevent real time…

2 months ago

Scaling Kafka Consumers: Proxy vs. Client Library for High-Throughput Architectures

Apache Kafka’s pull-based model and decoupled architecture offer unmatched flexibility for event-driven systems. But as data volumes and consumer applications…

3 months ago