According to a new press release, Confluent, a data streaming pioneer, has introduced Apache Flink on Confluent Cloud, a fully managed stream processing service that simplifies data stream filtering, joining, and enrichment. This offering enables organizations to react quickly and innovate by processing data streams in real time, resulting in timely insights and new use cases.

Data streaming has become crucial for businesses, with 72% of IT leaders using it for mission-critical systems, according to a 2023 report. Apache Flink, as part of the Apache Software Foundation, has established itself as a standard for stream processing, often used alongside Kafka for mission-critical workloads. Confluent’s introduction of Flink on Confluent Cloud simplifies stream processing, facilitating faster application development by offering fully managed, scalable, and integrated Flink services.

“Companies globally are leveraging data streaming with Apache Kafka to power real-time experiences,” said Shaun Clowes, Chief Product Officer at Confluent. “While data streaming connects data across an organization, stream processing tools like Apache Flink make it possible to act on that data in real time and accelerate the development of new use cases. Our managed Kafka and Flink offerings are like the peanut butter and jelly of data streaming. They work better together on a unified platform to connect and enrich data so teams can uncover more insights and deliver impactful experiences that move the needle.”

In addition to Apache Flink, Confluent has introduced Data Portal to streamline the discovery and access of real-time data streams, Enterprise Clusters for private networking cost reductions, and lower storage pricing for Confluent Cloud. These innovations aim to provide a unified platform for stream processing and data governance, enabling organizations to leverage data streams effectively for real-time insights and applications.

Read more at confluent.io.

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