Daten-Streaming verwandelt Data at Rest in Data in Motion

Both Confluent Cloud and Confluent Platform are powered by enterprise distributed Kafka rearchitected for cloud-native scalability that is faster, most cost-efficient, and more resilient. Confluent Cloud specifically is powered by Kora, a cloud-native Kafka engine that allows us to pass on significant savings to our customers—including up to 20-90%+ throughput savings with our autoscaling Standard, Enterprise, and Freight clusters.

Using Confluent for data streaming is a solid choice for any organization that wants to modernize its data architecture, build event-driven applications, leverage real-time data for analytics and AI, and solve data integrity challenges that come with traditional, batch-based ETL.

Traditional APIs typically use a request-response model, where a client requests data from a server. Data streaming uses a publish-subscribe model, where producers publish events to a shared log, and any number of consumers can access those events independently. This decoupling is fundamental to modern, scalable architectures.

A wide range of applications benefit, including applications for streaming analytics, event-driven generative AI, and multi-agent systems. Any application that needs to react to events instantly or needs highly trustworthy data for mission-critical use cases like from fraud detection and cybersecurity can benefit from leveraging cloud-native data streaming on Confluent.

Confluent supports industry-standard data formats like Avro, Protobuf, and JSON Schema through Schema Registry, part of Stream Quality in Stream Governance (Confluent’s fully managed governance suite). This allows users to integrate with hundreds of systems via our portfolio of 120+ pre-built connectors for sources and sinks like databases, data warehouses, and cloud services.

Yes, Confluent is 100% compatible with Apache Kafka®. Tools like Cluster Linking enable you to create reliable, real-time replicas of your existing Kafka data and metadata in Confluent and can also be used to migrate your Kafka workloads without downtime.

Yes. Confluent Cloud's cloud-native Kora engine is designed for massive scale and resilience. It can handle GBps+ workloads, scale 10x faster than traditional Kafka, and is backed by a 99.99% uptime SLA. Confluent Platform also runs on a cloud-native distribution of Kafka and provides features for easier self-managed scaling, including Confluent for Kubernetes and Ansible playbooks. For security, Confluent provides enterprise-grade features and holds numerous compliance certifications including SOC 2, ISO 27001, and PCI DSS across deployment options.

New users receive $400 in credits to start building immediately. Simply sign up, activate your account, and you’ll be walked through how to launch your first cluster, connect a data source, and use Schema Registry on Confluent Cloud. We also recommend exploring our Demo Center and resources on Confluent Developer as you get started.

No. While Confluent offers a fully managed service for Apache Flink® for powerful stream processing, it is not required for the core data streaming capability. You can stream data directly from producers to any number of consumers without using an integrated processing layer.