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Cloudera DataFlow vs Google Cloud Dataflow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Cloudera DataFlow
Ranking in Streaming Analytics
14th
Average Rating
7.2
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Google Cloud Dataflow
Ranking in Streaming Analytics
8th
Average Rating
7.8
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Cloudera DataFlow is 1.4%, down from 1.6% compared to the previous year. The mindshare of Google Cloud Dataflow is 8.3%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Júlio César Gomes Fonseca - PeerSpot reviewer
Jun 23, 2023
A stable solution that helps develop quality modules but needs to improve its programming language
Sometimes I need this workflow to make my modules, not for campaign preparation. It is solely focused on developing quality modules for direct telecommunication companies In Cloudera DataFlow, I can't say which is the most valuable feature because we use all modules. We need to compare each…
Tamer Talal - PeerSpot reviewer
Feb 14, 2024
A tool useful for data transmission and data storage that needs to improve its authentication area
I use the solution in my company for data transmission and data storage One of the good features of the product is the overall capacity that it provides to its users. Though the speed of the product is good, the main feature of the product that I like is its capacity. The authentication part of…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most effective features are data management and analytics."
"This solution is very scalable and robust."
"DataFlow's performance is okay."
"The initial setup was not so difficult"
"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."
"The solution allows us to program in any language we desire."
"It is a scalable solution."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."
"The service is relatively cheap compared to other batch-processing engines."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
 

Cons

"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning."
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."
"The solution's setup process could be more accessible."
"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."
"Google Cloud Dataflow should include a little cost optimization."
"The authentication part of the product is an area of concern where improvements are required."
"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."
"The deployment time could also be reduced."
 

Pricing and Cost Advice

"DataFlow isn't expensive, but its value for money isn't great."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."
"The solution is cost-effective."
"Google Cloud is slightly cheaper than AWS."
"The tool is cheap."
"The solution is not very expensive."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."
"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."
"Google Cloud Dataflow is a cheap solution."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
16%
University
11%
Manufacturing Company
8%
Financial Services Firm
17%
Computer Software Company
12%
Retailer
12%
Manufacturing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Cloudera DataFlow?
The most effective features are data management and analytics.
What is your primary use case for Cloudera DataFlow?
We use Cloudera DataFlow for stream analytics.
What do you like most about Google Cloud Dataflow?
The product's installation process is easy...The tool's maintenance part is somewhat easy.
What needs improvement with Google Cloud Dataflow?
The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the p...
 

Also Known As

CDF, Hortonworks DataFlow, HDF
Google Dataflow
 

Learn More

 

Overview

 

Sample Customers

Clearsense
Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
Find out what your peers are saying about Cloudera DataFlow vs. Google Cloud Dataflow and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.