Reduce data integration time with no-code development
Cloudera Flow Management (CFM) delivers high-scale data ingestion, transformation, and management to enterprises from any-to-any environments. It addresses key enterprise use cases such as data movement; continuous data ingestion; log data ingestion; and acquisition of all types of streaming data including social, mobile, clickstream, and IoT data.
CFM comprises two main components:
- Apache NiFi: The core data ingestion engine that has a no-code graphical user interface and supports more than 300 processors for connectivity, transformation, and content routing
- NiFi Registry: The companion to NiFi that enables DevOps style development and deployment of flow files. It also supports versioning of flows, promotion of flows from one environment into another, and deployment
CFM is part of Cloudera DataFlow
Cloudera Flow Management (CFM) is a key part of the Cloudera DataFlow (CDF) platform. While CDF enables the edge-to-enterprise journey for streaming data, CFM ensures that data of any type can be captured from any source and can be streamed into the enterprise securely.
Key benefits
High-scale data movement
- Move petabytes of data from one data center to another in just a few hours
- Move data from your on-premises environment to the cloud or vice-versa
- Enable a multi-cloud model with NiFi’s cloud-vendor-agnostic approach to managing data
DevOps-style collaborative development
- Adopt a DevOps-style flow development lifecycle with NiFi Registry to deliver your flow applications faster
- Enable your development team to version their flows and set up promotion schemes across environments
- Deploy flow applications very easily from one environment to another using NiFi Registry
Reduced data integration time
- Develop sophisticated data orchestrations with drag-and-drop ease with NiFi's rich user interface
- Build complex data flow applications with ease using NiFi’s 300+ processors for connectivity, transformation, and management
- Integrate seamlessly with CDF components such as Kafka, MiNiFi, and Spark Streaming or platform components such as HBase, Hive, Impala, and Kudu
Streamlined continuous data ingestion
- Ingest data from any streaming source such as clickstreams, social streams, mobile, or IoT devices using Apache NiFi
- Optimize log analytics solutions by forwarding refined log data from hundreds of applications or devices
- Enable actionable insights on streaming data by capturing and delivering the data in real time from various sources