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Simple, Serverless Stream Processing

Easily build high-quality, reusable data streams with the industry’s only serverless Apache Flink® service, fully integrated with Apache Kafka® on Confluent Cloud across all three major clouds.

Confluent Platform for Apache Flink® is also now generally available for on-prem and private cloud workloads – see details here.

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Real-time Use Cases Need Real-time Processing

Enable real-time data handling by transforming, analyzing and acting on data as it flows across your enterprise:

Shift Left Data Pipelines: Clean and shape data as it's created, delivering fresh, reliable and reusable data to your data warehouse or data lake.
Real-Time Materialized Views: Keep downstream systems and applications in sync with incrementally updated real-time universal data products.
Classical Event Processing: Capture and process events as they occur, aggregating and analyzing them over time to detect trends, patterns and anomalies.

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Accelerate Real-Time AI Pipelines

Use Flink AI Model Inference with familiar SQL syntax to work directly with LLMs and vector databases to make accurate, real-time AI-driven decisions based on the most current and relevant streaming data.

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Filter. Join. Enrich.

Effortlessly filter, join, and enrich your data streams with Flink, the de facto standard for stream processing.

Real-time Processing

Power low-latency applications and pipelines that react to real-time events and provide timely insights

Data Reusability

Share consistent and reusable data streams widely with downstream applications and systems

Data Enrichment

Curate, filter, and augment data on-the-fly with additional context to improve completeness, accuracy, and compliance

Efficiency

Improve resource utilization and cost-effectiveness by avoiding redundant processing across silos

Illustration of the interplay between data streams and applications

Cloud-native Experience

Enable high-performance and efficient stream processing at any scale, without the complexities of infrastructure management.

Fully Managed

Easily develop Flink applications with a serverless, SaaS-based experience instantly available and without ops burden

Elastic Scalability

Automatically scale up or down to meet the demands of the most complex workloads without overprovisioning

Infrastructure-as-code

Automate Flink deployment on Kubernetes for private cloud and on-prem workloads

Continuous Updates

Build using always up-to-date platform with automated upgrades

Graphical illustration of throughput/data traffic over time

Kafka + Flink, Unified

Experience Kafka and Flink, unified as a complete enterprise-grade data streaming platform.

Enterprise-grade Security

Secure stream processing with built-in identity and access management, RBAC, and detailed audit logs

Stream Governance

Define and enforce universal data standards that enable scalable data compatibility

Monitoring

Ensure Flink applications run reliably, efficiently, and are easy to maintain

Connectors

Connect to and from any app and system with 120+ pre-built connectors

“Stream processing is critical for identifying and protecting against security risks in real time. With Confluent’s fully managed Flink offering, we can access, aggregate, and enrich data from IoT sensors, smart cameras, and Wi-Fi analytics, to swiftly take action on potential threats in real time, such as intrusion detection. This enables us to process sensor data as soon as the events occur, allowing for faster detection and response to security incidents without any added operational burden.”

Vinay Krishna Patnana

Engineering Manager at Cisco Meraki

"To meet rising customer demands in a volatile energy market, we need to deliver near real-time data to our client-facing applications. Relying on batch processing can cause performance issues and result in poor decision-making based on outdated data. By using Kafka and Flink together in a unified platform, our teams will be able to easily build intelligent streaming data pipelines that can extract data from various sources, process it in real time, and feed it to our downstream consumers for timely analysis without any operational challenges. We’re excited about Confluent’s fully managed Flink service, because it will help make stream processing accessible to everyone by creating high quality, reusable data streams to fuel innovation and data exploration across our lines of business.”

Sami AlAshabi

Solutions Architect at Essent

"Conditions in the automotive logistics industry can change rapidly, requiring immediate action to address delays, reroute vehicles, and update systems and customers. Confluent's serverless Flink service will enable us to instantly and efficiently transform, integrate, and enrich massive volumes of data in our transportation management system, providing real-time visibility into the status and location of vehicles for both systems and customers."

Jeffrey Jennings

Sr. Consultant, Data and Integration Services at ACERTUS

"Apache Flink is becoming a prominent stream processing framework in this shift towards real-time insights. Flink and Apache Kafka are commonly used together for real-time data processing, but differing data formats and inconsistent schemas can cause integration challenges and hinder the quality of streaming data for downstream systems and consumers. A fully managed, unified Kafka and Flink platform with integrated monitoring, security, and governance capabilities can provide organizations with a seamless and efficient way to ensure high-quality and consistent data streams to fuel real-time applications and use cases, while reducing operational burdens and costs."

Stewart Bond

Research VP, Data Integration and Data Intelligence Software at IDC

"Stream processing involves real time integration and transformation of streams of event data, powering systems across industries ranging from fraud detection in finance to personalized recommendations in e-commerce. When used in combination, Apache Flink and Apache Kafka can enable data reusability and avoid redundant downstream processing. The delivery of Flink and Kafka as fully managed services delivers stream processing without the complexities of infrastructure management, enabling teams to focus on building real-time streaming applications and pipelines that differentiate the business."

Matt Aslett

Vice President and Research Director

Resources

Getting started with Flink

Flink Datasheet

Confluent Cloud: Flink Launch Blog

Confluent Platform: Flink Launch Blog

Course: Table API

Course: Flink SQL

NEW Comic Book: The Force of Kafka + Flink Awakens