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Cloudera DataFlow vs Informatica Data Engineering Streaming 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
Informatica Data Engineerin...
Ranking in Streaming Analytics
16th
Average Rating
8.0
Number of Reviews
1
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 Informatica Data Engineering Streaming is 1.2%, up from 0.8% 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…
DK
May 16, 2024
Helps with real-time data processing and improves decision-making overall
We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data…

Quotes from Members

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

Pros

"DataFlow's performance is okay."
"This solution is very scalable and robust."
"The initial setup was not so difficult"
"The most effective features are data management and analytics."
"It improves the performance."
 

Cons

"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."
"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"Skill requirement is required. There is a learning curve."
 

Pricing and Cost Advice

"DataFlow isn't expensive, but its value for money isn't great."
Information not available
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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
19%
Manufacturing Company
17%
Computer Software Company
16%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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 needs improvement with Informatica Data Engineering Streaming?
Skill requirement is required. There is a learning curve.
What is your primary use case for Informatica Data Engineering Streaming?
We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.
What advice do you have for others considering Informatica Data Engineering Streaming?
Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper da...
 

Also Known As

CDF, Hortonworks DataFlow, HDF
Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
 

Overview

 

Sample Customers

Clearsense
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814,649 professionals have used our research since 2012.