Overview
A comprehensive edge-to-cloud real-time streaming data platform.
Cloudera Dataflow (CDF) is a scalable, real-time streaming data platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. DataFlow addresses the following challenges:
- Processing real-time data streaming at high volume and high scale
- Tracking data provenance and lineage of streaming data
- Managing and monitoring edge applications and streaming sources
- Gaining real-time insights and actionable intelligence from streaming data
Extend DataFlow to public cloud
All the DataFlow capabilities are made available within Cloudera Data Platform’s (CDP’s) public cloud framework through CDP's Data Hub services. Take advantage of CDP’s key benefits such as quick cluster provisioning, management, monitoring, as well as Shared Data Experience (SDX)—which provides a unified security and governance layer across all of the DataFlow components.
The Cloudera DataFlow Platform
Edge & Flow Management
Manage, control, and monitor the edge for streaming and IoT initiatives and deliver real-time streaming data with no-code ingestion and management.
Streams Messaging
Buffer and scale massive volumes of data ingests to serve the real-time data needs of other enterprise and cloud applications.
Stream Processing & Analytics
Empower real-time insights to improve detection and response to critical events that deliver valuable business outcomes.
Use cases
Logging modernization
Customer 360
Real-time insights
Logging Modernization
Unlock the value of machine-generated data with CDF’s Logging Modernization.
Logging Modernization is a holistic approach toward unlocking the value of machine-generated data by lowering processing costs and enabling a range of new analytics use cases. This is achieved through real-time data ingestion, edge processing, transformation, and routing log data through to descriptive, prescriptive, and predictive analytics.
Customer 360
Get the complete view of your customer by gathering all their data from multiple sources.
One of the primary digital transformation initiatives across organizations is to understand the full picture of their customers. But customer data exists across multiple data sources such as traditional enterprise databases, data lakes, cloud stores, and social feeds. CDF’s data ingestion and messaging capabilities lets you ingest, combine, enrich, and process data from all these data sources seamlessly and delivers a full 360-degree view of your customer.
Real-time insights
Predict failures and take corrective actions in real time.
Your IoT or streaming analytics implementations are only as good as your ability to harness the value of the data you ingest in real time. IoT use cases like predictive maintenance or patient monitoring require the data to be instantly consumed and processed to generate predictive and prescriptive analytics in real time. These can be truly life-saving insights in some use cases.
