Easily manage real-time streaming data on AWS, Azure, & GCP with CDP.
CDP simplifies data collection and streaming with easy-to-use cloud services available on AWS, Azure, and Google Cloud Platform (GCP). Hybrid use cases are easier to deploy due to the simplicity of CDP cluster management and an experience consistent with on-premises DataFlow tools.
Deployment of flow management and streams processing clusters with CDP, accessed through the simple, yet powerful Data Hub service takes just minutes in the cloud and eliminates complex, time-consuming infrastructure planning and management.
CDP Flow Management and Stream Processing cloud services also deliver enterprise scale and security, combining the innovation and power of Apache NiFi, Kafka, and Flink with Cloudera SDX for consistent security and governance across public and hybrid clouds.
Flow Management & Stream Processing cloud services
Spin-up NiFi clusters to quickly orchestrate data collection, distribution, and transformation.
Flow Management on Data Hub offers a simple visual UI for building sophisticated data ingestion, transformation, and enrichment requirements across a variety of streaming data sources and targets. This enables you to quickly ingest streaming data from devices, enterprises applications, partner systems, and cloud applications at capacities over 1 billion events per second.
Extend your on-premises Kafka to the public cloud to buffer and scale voluminous data streams.
Streams Messaging on Data Hub enables enterprises to ingest, buffer, and scale massive volumes of real-time data to serve on-premises and cloud applications. Primarily powered by Apache Kafka, the Streams Messaging capabilities enable real-time data access to a wide range of applications such as analytic engines, data lakes, and time series databases.
Spin-up Apache Flink clusters to process Kafka or NiFi streams to deliver real-time analytics in the cloud.
Streaming Analytics on Data Hub employs the latest generation of low-latency stream processing and analytic engines that address the requirements of real-time insights and predictive analytics. Powered by Apache Flink, it helps to democratize streaming analytics across the enterprise to deliver better business outcomes, faster.