Confluent, Inc. (NASDAQ:CFLT), a leader in Data Streaming, has launched Confluent Cloud for Apache Flink®, a fully managed service that enables real-time data processing and the creation of reusable high-quality data streams with Apache Flink. This service is now available on platforms such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, backed by a Confluent SLA guaranteeing 99.99% uptime. Offering reliable serverless stream processing, Confluent Cloud for Flink establishes itself as an essential cloud-native solution.
Today, companies face the challenge of delivering exceptional customer experiences and optimizing operations through advanced applications such as fraud detection, predictive maintenance, and real-time inventory and supply chain management. Stream processing plays a crucial role in enabling immediate actions on incoming data, avoiding the delays associated with traditional batch processing methods that can lead to outdated information.
As a key pillar of data streaming infrastructure, stream processing facilitates the filtering, aggregation, and enrichment of data in real time, increasing its value and usability for subsequent applications and systems. It generates reusable high-quality data streams for various projects, enhancing agility, data consistency, and reducing costs compared to conventional batch processing solutions. Apache Flink, recognized as the standard in stream processing, is used by innovative companies like Airbnb, Uber, Netflix, and Stripe to manage their critical data streams, driving its popularity with nearly one million downloads in 2023.
“Stream processing is essential for extracting immediate insights from data streams to power a wide range of highly relevant use cases such as fraud detection, dynamic pricing, and real-time inventory and supply chain management,” stated Stewart Bond, Vice President of Integration and Data Intelligence Software Research at IDC. “Apache Flink is becoming a prominent stream processing framework in this shift towards real-time information. Flink and Apache Kafka are commonly used together for real-time data processing, but different data formats and inconsistent schemas can cause integration issues and hinder the quality of data streaming for systems and end consumers. A fully managed and unified Kafka and Flink platform with integrated monitoring, security, and governance capabilities can provide companies with a smooth and efficient way to ensure consistent and high-quality data streams to drive real-time applications and use cases, while reducing operational burdens and costs.”
As the industry’s only cloud-native and serverless Flink offering, Confluent Cloud for Apache Flink® enables customers to easily create reusable high-quality data streams to power all their real-time applications and analytical needs.
“Stream processing enables companies to transform raw data streams into powerful insights,” said Shaun Clowes, Director of Product at Confluent. “The high performance, low latency, and solid common foundation of Flink make it the best choice for developers to utilize stream processing. With Kafka and…