What is Cloudera Flow Management?
Cloudera Flow Management, built on Apache NiFi and NiFi Registry, is a key component of the Cloudera Data in Motion product portfolio. It addresses enterprise challenges in data ingestion and stream processing, enabling efficient handling of streaming data from diverse sources. This documentation provides an overview of Cloudera Flow Management's capabilities and its integration with other components.
Key features and capabilities
- Code-free data ingestion
- Cloudera Flow Management allows you to ingest and manage data without the need for coding, providing a user-friendly solution for data movement within the enterprise.
- Versatile data capture
- You can capture diverse data types from any source securely, facilitating the seamless flow of data into the enterprise.
- Dynamic routing and data transformation
- You can transform and dynamically route data in real-time, ensuring flexibility in managing and optimizing data flows.
- Complex and scalable data flows
- Cloudera Flow Management allows you to build intricate and scalable data flows, tailoring them to meet specific business requirements.
- Real-time monitoring and management
- You can manage, edit, and monitor data flows in real-time, offering transparency and control over the entire data movement process.
- DevOps-style flow development lifecycle
- You can adopt a DevOps-style development lifecycle, leveraging templates, version control, collaboration, and diverse deployment options for faster application delivery.
- Seamless integration
- Cloudera Flow Management seamlessly integrates with other Data in Motion components such as Kafka, MiNiFi, Flink, Spark Streaming, as well as Cloudera platform components like HBase, Hive, Impala, and Kudu.
Main components
- Apache NiFi
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- Core data ingestion engine featuring a no-code graphical user interface
- Supports 300+ processors for connectivity, transformation, and content routing
- Apache NiFi Registry
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- Companion to NiFi enabling DevOps-style flow development
- Supports versioning flows, promoting flows, and deploying flow applications across environments
