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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

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
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.
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
Not that great as marketed. Integration went too long and there were too many loose ends like existing spark client was not recognized by the CDF installation. and Spark jobs were failing at the start. too much manual installation tweaking required to do by Hadoop admins.

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 26th February 2025
Company type
Private
Year Founded
2008
Head office location
Santa Clara, United States
Number of employees
1001 - 5000
Website
https://www.cloudera.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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

Distributed:- CDF NiFi can run in multiple nodes or servers and can handle multiple job loads Fast:- In my organization there are more than 2000 flows which is now opening & loading fast in browser GUI:- Canvas designer is a treat. easy to use and very intuitive.

Like

Direct engagement with product team, open discussion, customer care

Dislike

1) There are no queueing capabilities or ways to protect certain workflows within a single instance or deployment. DataFlow remedies this somewhat with the ability to separate flows into different deployments. 2) Not as performant as other tools for data processing and transformation. 3) DataFlow is still relatively new in the grand scheme of things and there are some features we've requested that have not yet been implemented. However, Cloudera is very receptive to this feedback and has been working hard to remedy any obvious gaps in their products.

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

Traditional NiFi is still based on a single canvas for enabling data pipelines, it is challenging when used as a shared environment by multiple teams.

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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?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.4

Service & Support

4.2

Product Capabilities

4.5

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • 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.
  • TECHNOLOGY ARCHITECT
    50M-1B USD
    Energy and Utilities
    Review Source

    Good partners on cutting edge technologies.

    5.0
    Mar 28, 2024
    Good partners and always willing to improve their products to meet customer needs.
  • Solutions Architect
    50M-1B USD
    Energy and Utilities
    Review Source

    Great product/service, outstanding professionals!

    5.0
    Mar 25, 2024
    Great product/service and outstanding professionals (e.g.: Data Engineers)
  • BUSINESS ANALYST
    1B-10B USD
    Miscellaneous
    Review Source

    Process real-time streaming data within the organization

    5.0
    Jul 30, 2023
    Cloudera data flow is designed to handle real time streaming data within an organization. It enables Seamless ingestion, transformation and analysis of high volume data streams. The tool has proved itself as a robust and reliable solution for enhancing our data-driven decision-making processes.
  • Chief Innovation Officer
    <50M USD
    Healthcare and Biotech
    Review Source

    CDF Applied in Healthcare

    5.0
    Jul 16, 2022
    CDF is an integral component of our streaming realtime AI/ML solution. Sales process was quick and transparent. Install, training and follow up support have met our needs. Integration into the CDP One offering was a plus.
Showing Result 1-5 of 20

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