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  3. Cloudera DataFlow
Logo of Cloudera DataFlow

Cloudera DataFlow

byCloudera
in
4.7
Market Presence: Event Stream Processing, Cloud Database Management Systems (Transitioning to Cloud Operational Database Management Systems)

Overview

Product Information on Cloudera DataFlow

Updated 13th October 2025

What is Cloudera DataFlow?

Cloudera DataFlow is a software that provides real-time data streaming, processing, and integration capabilities for enterprises working with large-scale data. The software enables users to collect, curate, and analyze data from diverse sources such as sensors, logs, and files. It offers features for dynamic data flow design, transformation, and routing, allowing organizations to automate and manage data pipelines across hybrid and multi-cloud environments. Cloudera DataFlow supports scalability, governance, and security for data in motion, addressing challenges related to ingesting, processing, and delivering data to downstream applications for analytics, monitoring, and operational intelligence.

Cloudera DataFlow Pricing

Cloudera DataFlow software follows a subscription-based pricing model, where organizations are charged based on the capacity or resources consumed, such as the number of flow management nodes or data processed These subscriptions often include support and access to software updates for the duration of the agreement Pricing details are available upon request and are tailored according to deployment needs

Overall experience with Cloudera DataFlow

Solution Architect - Big Data and Data Science
30B + USD, Energy and Utilities
FAVORABLE

“Exploring Cloudera DataFlow: A Stellar Tool for Data Pipeline Use Cases”

5.0
Apr 8, 2024
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
SENIOR DATA ENGINEER
10B - 30B USD, Consumer Goods
CRITICAL

“Use CDF only if your organisation is dependant only on Hadoop based job”

3.0
Jun 3, 2022
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 13th January 2025

Cloudera focuses on enabling transformation of complex data into clear and actionable insights. It provides an enterprise data cloud for data management, catering to multiple locations from the Edge to AI. Leveraging the continuous development aspects of the open source community, Cloudera caters to the digital transformation needs of large-scale enterprises around the world.

Company Details

Updated 9th April 2026
Company type
Private
Year Founded
2008
Head office location
San Jose, United States
Number of employees
1001 - 5000
Website
https://www.cloudera.com

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Peer Discussions

Cloudera DataFlow Reviews and Ratings

4.7

(20 Ratings)

Rating Distribution

5 Star
40%
4 Star
50%
3 Star
10%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Solution Architect - Big Data and Data Science
    10B+ USD
    Energy and Utilities
    Review Source

    Exploring Cloudera DataFlow: A Stellar Tool for Data Pipeline Use Cases

    5.0
    Apr 8, 2024
    Cloudera DataFlow is an excellent data movement and processing tool that we use for multiple big data and data pipeline use cases. It works seamlessly with other tools in the Cloudera Data Platform stack and overall meets many of our big data and data integration needs. What works well: The tool is incredibly adaptive within its scope and gives you great flexibility for data integration and connectivity. It allows for the construction of very large data pipelines with relative ease and then executes those workflows seamlessly and performantly. What doesn't work as well: Although DataFlow is capable of basic data transformation, this is not recommended in order to maximize efficiency. It is recommended to execute heavy processing workloads in other engines such as Spark.
  • Solution Architect - Big Data and Data Science
    10B+ USD
    Energy and Utilities
    Review Source

    Exploring Cloudera DataFlow: A Stellar Tool for Data Pipeline Use Cases

    5.0
    Apr 8, 2024
    Cloudera DataFlow is an excellent data movement and processing tool that we use for multiple big data and data pipeline use cases. It works seamlessly with other tools in the Cloudera Data Platform stack and overall meets many of our big data and data integration needs. What works well: The tool is incredibly adaptive within its scope and gives you great flexibility for data integration and connectivity. It allows for the construction of very large data pipelines with relative ease and then executes those workflows seamlessly and performantly. What doesn't work as well: Although DataFlow is capable of basic data transformation, this is not recommended in order to maximize efficiency. It is recommended to execute heavy processing workloads in other engines such as Spark.
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  • Market Guide for Event Stream Processing
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Reviewer Insights for: Cloudera DataFlow
Performance of Cloudera DataFlow Across Market Features

Cloudera DataFlow Likes & Dislikes

Like

1) Flexibility with a wide array of integrations and interconnectivity with hundreds of systems. 2) Incredibly performant and allows a large amount of data throughput across parallel workflows. 3) Very approachable and simple to use for the average user/non-coder while still providing a large swathe of capabilities.

Like

1) Flexibility with a wide array of integrations and interconnectivity with hundreds of systems. 2) Incredibly performant and allows a large amount of data throughput across parallel workflows. 3) Very approachable and simple to use for the average user/non-coder while still providing a large swathe of capabilities.

Like

1) Flexibility with a wide array of integrations and interconnectivity with hundreds of systems. 2) Incredibly performant and allows a large amount of data throughput across parallel workflows. 3) Very approachable and simple to use for the average user/non-coder while still providing a large swathe of capabilities.

Dislike

old tech:- still uses older NiFi version Needs a separate skill set to use NiFi, not that simple to use for beginners not much up gradable, meaning if using enterprise wise then may be this product will stick for years and is only up gradable up to some level

Dislike

old tech:- still uses older NiFi version Needs a separate skill set to use NiFi, not that simple to use for beginners not much up gradable, meaning if using enterprise wise then may be this product will stick for years and is only up gradable up to some level

Dislike

old tech:- still uses older NiFi version Needs a separate skill set to use NiFi, not that simple to use for beginners not much up gradable, meaning if using enterprise wise then may be this product will stick for years and is only up gradable up to some level