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Simple, Serverless Stream Processing

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

Confluent Platform for Apache Flink® is now in limited availability for on-prem and private cloud workloads – see details here.

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Real-time Data Requires Real-time Processing

Stream processing is a prerequisite of the data streaming stack, powering real-time applications and pipelines. By joining and enriching data streams in-flight, stream processing enables greater data portability, optimized resource utilization, and improved customer experiences.

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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

Serverless 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

Usage-based Billing

Pay only for resources used instead of infrastructure provisioned, with scale-to-zero pricing

Continuous, No-touch Updates

Build using an always up-to-date platform with declarative, versionless APIs and interfaces

Kafka + Flink, Unified

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

Enterprise-grade Security

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

Stream Governance

Enforce data policies and avoid metadata duplication, leveraging native integration with Stream Governance

Monitoring

Ensure the health and uptime of your Flink queries in the Confluent UI or via third-party monitoring services

Connectors

Connect to and from any app and system with 70+ fully managed 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

Flink launch blog

Free course: Flink 101

Flink feature updates blog

NEW Comic Book: The Force of Kafka + Flink Awakens