Confluent, Inc. announced the general availability of Confluent Cloud for Apache Flink, a fully managed service for Apache Flink that enables customers to process data in real time and create high-quality, reusable data streams. Confluent Cloud for Apache Flink is available across Amazon Web Services (AWS), Google Cloud, and Microsoft Azure. Backed by Confluent's 99.99% uptime SLA, Confluent's cloud-native service for Flink enables reliable, serverless stream processing. Organizations are under incredible pressure to deliver exceptional customer experiences and streamline operations with cutting-edge use cases like fraud detection, predictive maintenance, and real-time inventory and supply chain management.

Stream processing is a critical part of bringing these real-time experiences to life because it enables organizations to act on data as it arrives rather than waiting to process it in batches when the data is often already stale and out of date. As the compute layer in the data streaming infrastructure, stream processing helps teams filter, join, and enrich data in real time to make it more usable and valuable for sharing with downstream applications and systems. It creates high-quality data streams that can be reused for multiple projects and provides improved agility, data consistency, and cost savings compared to traditional batch processing solutions. As the de facto stream processing standard, Flink is relied upon by innovative companies like Airbnb, Uber, Netflix, and Stripe to support mission-critical streaming workloads.

With Confluent Cloud for Apache flink®?, customers can: Effortlessly filter, join, and enriched data streams with Flink, the de facto standard for stream processing; Enable high-performance and efficient stream processing at any scale, without the complexities of infrastructure management; Experience Kafka and Flink as a unified platform, with fully integrated monitoring, security, and governance. Flink powers the real-time use cases customers demand. Flink enables customers to build streaming data pipelines, event-driven applications, and real-time analytics to power use cases like personalized recommendations, dynamic pricing, and anomaly detection.

Confluent Cloud for Apache Flink® is an easy way for companies to get started with these stream processing use cases. Streaming data pipelines supply real-time data to critical data systems across an organization, including data warehouses, databases, and data lakes, to ensure they always reflect the current state of the business. As generative AI becomes a top priority for many companies, vector databases are another data system that must be continuously updated with timely and well-curated data from streaming data pipelines.

If the data in a vector database becomes stale or low fidelity because of pipelines that rely on periodic batch processing and public datasets, the reliability and relevance of generative AI diminishes. Flink can be used to create streaming data pipelines to ensure vector databases are supplied with cleaned, business-contextualized, real-time data to support generative AI applications. Confluent Cloud for Apache Flink® enables users to build streaming data pipelines for vector databases with ease, ensuring generative AI applications have access to their organization?s most relevant and valuable data in real time.

Confluent integrates with leading vector database vendors, such as Elastic, Pinecone, Rockset, SingleStore, and Zilliz to further simplify and accelerate the development of critical generative AI initiatives even further. Flink can analyze streams of data and immediately trigger an alert when a particular event or pattern happens in event-driven applications. Time is often a critical part of this equation, and Flink offers advanced windowing capabilities that give customers control over how data is grouped for processing ?

for example, analyzing transactions over a specific time period for anomalies. With Confluent Cloud for Apache Flink®, customers can build next-gen event-driven applications that can analyze transaction data and trigger alerts for faster fraud detection or help stores better manage their inventory and share accurate delivery times. Unlike its batch counterparts, Flink can analyze real-time data streams to generate insights and help businesses accelerate decision-making.

Flink can process massive amounts of data quickly with low, sub-second latency, interactive queries, and advanced pattern recognition functions. Confluent Cloud for Apache Flink® can manage and process billions of data points for timely movie, show, and music recommendations and provide up-to-date information on order volumes, popular menu items, and delivery times for food delivery. Confluent Cloud for Apache Flink® is now generally available on all three major cloud service providers.

Customers can sign up for Confluent Cloud to easily access Confluent?s fully managed offering for Flink. To help customers quickly build and deploy Flink applications, Confluent has a global network of system integrators, including Deloitte, Ness Digital Engineering, Somerford Associates, Improving, Psyncopate, Platformatory, Synthesis Software Technologies (Pty) Ltd. and iLink Digital. These system integrators can provide on-site engineering assistance and technical support to help customers accelerate their stream processing use cases.