Stream processing plays a critical role in the infrastructure stack for data streaming. Developers can use it to filter, join, aggregate, and transform their data streams on the fly to power real-time applications and streaming data pipelines.

Among stream processing frameworks, Apache Flink has emerged as the de facto standard because of its performance and rich feature set. However, self-managing Flink (like self-managing other open source tools like Kafka) can be challenging due to its operational complexity, steep learning curve, and high costs for in-house support.

Confluent Cloud for Apache Flink is a fully managed service that delivers simple, serverless stream processing to create high-quality, reusable data streams in real-time. It is fully integrated with Apache Kafka on Confluent Cloud and is available across all three major clouds. It allows you to filter, join, and enrich your data streams, enable high-performance and efficient stream processing at any scale, and experience Kafka and Flink as a unified platform.

Tags: #confluent #apacheflink #flink #streamprocessing #datastreaming #kafka