Put your data in motion with the leader in data streaming.

Complete guide to migrate from open-source (OSS) Apache Kafka to Confluent. This includes best practices & customer-success stories on personal migration journeys.

In this ebook, you’ll get a look at five of the common use cases when getting started with data streaming, with real-world customer examples and insights into how your organization can make the leap.

Dive into insights from 4,175 IT leaders on how they are using data streaming platforms to deliver standout ROI, accelerate AI adoption, and drive faster time to market—all while unlocking the full value of their data.

Discover how data streaming transforms retail with real-time personalization, AI-driven automation, and supply chain agility. Learn from real use cases—like Migros—and see how leading brands are scaling innovation and customer experiences.

Explore how data streaming is transforming healthcare—from AI-powered diagnostics to real-time care delivery and pharma R&D. Learn how leading providers and researchers use real-time data to improve outcomes and innovate faster.

Curated by Confluent's Field CTO Kai Waehner, this full guide shows how data streaming use cases unlock business growth and efficient operations with real-world examples in financial services, manufacturing, retail, and more.

Real-time analytics, AI, and modern applications all depend on data streaming—but building a managed streaming service from scratch isn’t easy. As a service or technology provider, you need to deliver this capability to your customers without the complexity, cost, and risk tied to homegrown Apache Kafka®. Enter: Confluent's OEM program.

Discover how data streaming transforms banking with real-time payments, fraud prevention, and regulatory reporting. Learn from real use cases—like Erste Group Bank and KOR—and see how leading brands are scaling innovation and customer experiences.

Data streaming has given businesses the ability to move data in real time, but to stay competitive, they need to transform their architecture. See how you can benefit from a framework for building a Data Streaming Organization capable of turning data streams into innovation and business value.