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.

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.

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.

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

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

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