Stream processing is essential for a world that never slows down.

Shoe retailer NewLimits is struggling with decentralized data processing challenges and needs a manageable, cost-effective stream processing solution for an important upcoming launch. Join developer Ada and architect Jax as they learn why Apache Kafka and Apache Flink are better together.

See BMW, Michelin, and Siemens use Apache Kafka for event-driven systems and how your manufacturing organization run event-driven microservices with data streaming.

Discover the latest Apache Flink developments and major Confluent announcements from Kafka Summit 2023 in 451 Research’s Market Insight Report.

In this paper, we introduce the Dual Streaming Model. The model presents the result of an operator as a stream of successive updates, which induces a duality of results and streams.

Confluent named a Leader in the IDC MarketScape for Worldwide Event Brokering Software 2024. See why Confluent is a Leader.

Confluent named a Leader in the IDC MarketScape for Worldwide Analytic Stream Processing Software 2024. See why Confluent is a Leader.

This paper presents Apache Kafka’s core design for stream processing, which relies on its persistent log architecture as the storage and inter-processor communication layers to achieve correctness guarantees.

Businesses are discovering that they can create new business opportunities as well as make their existing operations more efficient using real-time data at scale. Learn how real-time data streams is revolutionizing your business.

In this ebook, you’ll learn about the profound strategic potential in an event streaming platform for enterprise businesses of many kinds. The types of business challenges event streaming is capable of addressing include driving better customer experience, reducing costs, mitigating risk, and providing a single source of truth across the business. It can be a game changer.