Accelerate data ops by solving for data movement
Cloudera DataFlow is a cloud-native data service powered by Apache NiFi that facilitates universal data distribution by streamlining the end-to-end process of data movement.
Move data with any structure from any source to any destination seamlessly across hybrid environments with 450+ agnostic connectors.
Maximize efficiency with simplified architecture, side-stepping data lock-in while reducing the proliferation of tools and duplicative data movement.
Reach the next level of agility by enabling no-code developer self-service across all phases of the data pipeline lifecycle.
Leverage public cloud elasticity to quickly build and deploy scalable data pipelines
Cloudera DataFlow is available as a cloud-native data service with auto scaling features designed to drive performance while minimizing costs.
use cases
Deliver business critical data in real time with maximum efficiency.
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Streaming ingestion for the Open Data Lakehouse
Ingest data from streaming sources for efficient storage and enterprise access.
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Gen AI pipelines
Activate your multimodal data and add real-time context to make generative AI outputs specific and reliable.
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Real-time observability
Improve situational awareness and reaction time in operations.
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Streaming ingestion for the Open Data Lakehouse
Ingest data from streaming sources for efficient storage and enterprise access.
-
Gen AI pipelines
Activate your multimodal data and add real-time context to make generative AI outputs specific and reliable.
-
Real-time observability
Improve situational awareness and reaction time in operations.
Distribute high-velocity data from 450+ processors through the data lakehouse
Connect to edge devices, message queues, applications, and change data capture tools.
Add context to prompts and unlock the power of your unique data
Improve Gen AI outputs with cited, factual content and continuously improve your results.
Streaming pipelines to make event data actionable
Unlock data in operational systems and deliver real-time insights for cybersecurity, machine health, customer engagement, and more.
Any data, anywhere, with flexible deployment options
Cloudera on public cloud
Deploy DataFlow as part of Cloudera on public cloud for the benefits of simplified management and elasticity.
Cloudera on private cloud
Deploy DataFlow as part of Cloudera on private cloud to minimize latency and maximize control over data and resources.
As a Kubernetes Operator
DataFlow-Kubernetes Operator can be deployed independently in Kubernetes clusters for the fastest time to value.
features & benefits
Cloudera DataFlow streamlines the end-to-end process of developing and deploying data pipelines.
Improve operational visibility and enable proactive response to critical events.
- Capture data from any system or device
- Process any file type to make data accessible for analysis
- Deliver in real time to any user or target system
Get started fast with ReadyFlows and quickly publish to DataFlow Catalog
- Quickly deploy predefined data flows with minimal configuration for common use cases with ReadyFlows
- Get to business outcomes faster with author once, deploy anywhere capabilities
- Easily manage versioning as business and data requirements change
Cloud-optimized deployment options including DataFlow Functions
- Serverless, efficient, cost-optimized, scalable. Run NiFi flows for any event-driven use cases.
- Near real time file processing with AWS Lambda, Azure Functions, and Google Cloud Functions
- Easy-to-use no-code UI for building microservices triggered by HTTPS requests
Sit back and monitor KPIs from central Control Pane
- Monitor all your NiFI flow deployments in a single dashboard no matter where they’re running
- Track important flow performance metrics by defining KPI alerts for your flow deployments
- Scale dynamically to maintain performance and meet SLAs with maximal efficiency
Universal connectivity
Universal connectivity to any system, on prem or in any cloud, through purpose-built connectors for data streams, databases, data lakes, enterprise applications, and more — leveraging industry standard protocols such as HTTP, Syslog, UDP, TCP, and more.
FEATURED CONNECTORS
Apache Iceberg
DATA LAKES & DATA WAREHOUSES
Apache Kafka
DATA STREAMS
Delta Lake
DATA LAKES & DATA WAREHOUSES
Google BigQuery
DATA LAKES & DATA WAREHOUSES
MongoDB
DATABASES
Salesforce
ENTERPRISE APPLICATIONS
Snowflake
DATA LAKES & DATA WAREHOUSES
Splunk
ENTERPRISE APPLICATIONS
Data distribution architecture to drive innovation
As businesses demand more real-time data and data sources, the most dynamic organizations are cutting through complexity and bringing rigor to their data distribution efforts to exceed business needs.
Customers
DataFlow drives real value across industries.
Get engaged
Blogs
Delivering Effective AI for Telecom Companies: Trusted, Open, Hybrid
Accelerating Deployments of Streaming Pipelines – Announcing Data in Motion on Kubernetes
Back to the Financial Regulatory Future
Documentation
Resources and guides to get you started
Ready to get started?