Cloudera named a leader in The Forrester Wave™: Data Fabric Platforms, Q4 2025

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Accelerate AI and analytics through effective data distribution

Cloudera Data Flow 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.


Seamlessly move any data from any source to any destination across data centers and clouds 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 next-level agility by enabling no-code developer self-service across all phases of the data pipeline lifecycle.

Cloudera is the only vendor to support Apache NiFi 2.0

  • On premises

  • In the public cloud

  • And as operators for Kubernetes for bring-your-own cluster deployments

Apache NiFi logo
USE CASES

Deliver business-critical data in real time with maximum efficiency.

  • Immediate fraud, cyber threat, and anomaly detection

    Reduce time to detect on mission-critical events to milliseconds.

    Read the success story

  • Streamline process automation with real-time AI agents

    Immediately flow context and events to AI agents to drive proactive actions.

  • Real-time observability

    Adjust any process in real time with immediate situational awareness.

    Read the ebook

  • Immediate fraud, cyber threat, and anomaly detection

    Reduce time to detect on mission-critical events to milliseconds.

    Read the success story

  • Streamline process automation with real-time AI agents

    Immediately flow context and events to AI agents to drive proactive actions.

  • Real-time observability

    Adjust any process in real time with immediate situational awareness.

    Read the ebook

fraud and cybersecurity detection use case diagram

Process and analyze data as it happens to prevent anomalies, cyber attacks, and fraud.

Act on data immediately from edge to cloud to stop damage before it happens.

450+ processors to connect to and process data anywhere

Fuel AI agents with fresh multimodal data and add real-time context to prompts.

Provide AI agents the most recent context and data when reasoning and automating action.

Data Flow real-time observability SIEM use case diagram

Continuous visibility, faster decisions, and greater operational resilience.

Instantly detect, understand, and respond to critical events across business operations.

use cases
 

Deliver business critical data in real time with maximum efficiency.

  • 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.

  • 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.

90%
faster response time for cybersecurity threats

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.

Key features

Capture and process data of any type from any system or device to make data accessible for analysis and deliver in real time to any user or system.

Enable rapid deployment of common data flows, leading to faster business outcomes through “author once, deploy anywhere” functionality. Simplify version management to accommodate evolving business and data needs.

Enable serverless, cost-optimized, and scalable operations. Supports event-driven use cases and real-time file processing via AWS Lambda, Azure Functions, and Google Cloud Functions. Build microservices triggered by HTTPS requests via an intuitive no-code UI.

Consolidate the monitoring of all NiFi flow deployments into a single dashboard. Set up KPI alerts for flow deployments to track critical performance metrics. Achieve dynamic scalability to maintain performance and meet SLAs efficiently.

Universal connectivity

Universal connectivity to any system, on premises or in any cloud, through purpose-built connectors for data streams, databases, data lakes, enterprise applications, and more, leveraging industry-standard protocols.

FEATURED CONNECTORS

Apache Iceberg logo

Apache Iceberg

DATA LAKES & DATA WAREHOUSES

Apache Kafka logo

Apache Kafka

DATA STREAMS

Delta Lake logo

Delta Lake

DATA LAKES & DATA WAREHOUSES

Google BigQuery logo

Google BigQuery

DATA LAKES & DATA WAREHOUSES

MongoDB logo

MongoDB

DATABASES

Salesforce logo

Salesforce

ENTERPRISE APPLICATIONS

Snowflake logo

Snowflake

DATA LAKES & DATA WAREHOUSES

Milvus logo

Milvus

GENERATIVE AI

Deployment options

Any data, anywhere, with flexible deployment options.

Cloudera on cloud


Deploy Data Flow as part of Cloudera on cloud and benefit from simplified management and elasticity.

Cloudera on premises


Deploy a NiFi flow as part of Cloudera Flow Management to minimize latency and maximize control over data and resources.

As operator for Kubernetes


Deploy Cloudera Flow Management Operator for Kubernetes independently for fastest time to value.

Customers

Data Flow drives real value across industries.

We aim to become even more agile with hybrid cloud and utilize AI that can help us create more impactful digital advertising. Cloudera has been one of our partners in transforming our business to offer services beyond telco.

- Bharat Alva, Chief Information Officer, Telkomsel

Headshot of Bharat Alva who is Chief Information Officer at Telkomsel.

Get engaged 

Take the next step

Discover how Cloudera Data Flow can help you connect to any data source, process, and deliver to any destination. 

Data Flow documentation

Documentation library

Read the documentation for Cloudera Data Flow on Cloud with self-serve deployments of Apache NiFi data flows from a central catalog.

Go to documentation

Data Flow architecture

icon showing books

Dig deeper with an overview of Cloudera Data Flow architecture.

Learn more

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