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  3. Cloudera DataFlow
Logo of Cloudera DataFlow

Cloudera DataFlow

byCloudera
in
4.3
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

BUSINESS ANALYST
3B - 10B USD, Miscellaneous
FAVORABLE

“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.
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

We can now seamlessly connect with other tools such as Apache Kafka, Apache Nifi and Apache Flink, creating a powerful end-to-end data management solution.

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

Ability to handle all healthcare streaming feeds. Integration with AI/ML components. Versatility in configuration.

Dislike

for large-scale data processing, we noticed the tool can be resource intensive, especially when handling complex transformations on substantial data streams.

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

Limited documentation. Higher level of engineering skill set required. UI could be updated.

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Peer Discussions

Cloudera DataFlow Reviews and Ratings

Showing data for 17 ratings and reviews for Event Stream Processing market. View all 20 ratings and reviews across markets for a complete picture.

4.3

(17 Ratings)

Rating Distribution

5 Star
29%
4 Star
59%
3 Star
12%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.4

Service & Support

4.1

Product Capabilities

4.4

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
  • 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.
  • SENIOR DATA ENGINEER
    10B+ USD
    Consumer Goods
    Review Source

    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.
  • Global Head Of Talent Development Busine
    1B-10B USD
    IT Services
    Review Source

    Intuitive and secure platform

    4.0
    Mar 22, 2022
    Cloudera relieves us of the need to understand the inner workings of a Hadoop cluster at the start of our analytics journey. It's simple to set up servers and it efficiently manages all Hadoop services, configures parameters, and monitors Hadoop status from a single location. The ability to store a large amount of data that can be used to retain information, as well as the ability to process and derive information. It is not a comprehensive tool for a single feature therefore it can be used for a variety of purposes.
  • Director Consulting Services
    10B+ USD
    Finance (non-banking)
    Review Source

    Control system and data query in the cloud

    4.0
    Feb 23, 2022
    This is a tool that greatly facilitates the analysis related to databases, it has efficient analytical systems and that are also manageable, storing and even safeguarding data in a broad and accessible way, as well as being a tool that has been in use for many years. The market has a wide and reliable data protection technology, it can be said that its adaptability is quite high and its performance is also high.
Showing Result 1-5 of 17

Recommended Gartner Research

  • Market Guide for Event Stream Processing

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