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Alteryx vs Talend Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Alteryx
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
81
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (5th), Data Preparation Tools (1st)
Talend Data Quality
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
20
Ranking in other categories
Data Quality (6th), Data Scrubbing Software (2nd)
 

Mindshare comparison

Alteryx and Talend Data Quality aren’t in the same category and serve different purposes. Alteryx is designed for Predictive Analytics and holds a mindshare of 21.4%, down 26.0% compared to last year.
Talend Data Quality, on the other hand, focuses on Data Quality, holds 3.5% mindshare, down 4.8% since last year.
Predictive Analytics
Data Quality
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
WesamHabboub - PeerSpot reviewer
Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy
Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

Quotes from Members

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

Pros

"The analytics are easy​."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"It is efficient in optimizing our ability to get information."
"The GUI is simple and it integrates with Python."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"All of the data science features in terms of unioning and joining data together are valuable."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"We are able to get emails from URLs very easily using this function when others fail."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"The file fetch process is impeccable."
"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"​It lowers the amount of time in development from weeks to a day.​"
"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."
 

Cons

"Alteryx's predictive data models are pretty average and can be improved."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"The technical support could have a little bit of improvement."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"The software is not fully optimized."
"They should work on its pricing."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"When a process completes there is a notification, but the notification does not include the process's name."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"SQL for displaying underlying data in non-match results does not work."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"There are too many functions which could be streamlined."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"The ability to change the code when debugging the JavaScript could be improved."
 

Pricing and Cost Advice

"The price could be better."
"The desktop platform costs $5,000 per year. It's very costly."
"ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
"​Very transparent.​"
"If one is a high price, and ten is a low price, I rate the tool's price as a one. The tool is expensive."
"The cost of the solution could be reduced."
"It's probably on the pricey side, but they provide some really useful ways to grow and test."
"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"It's a subscription-based platform, we renew it every year."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What is your experience regarding pricing and costs for Talend Data Quality?
There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...
What needs improvement with Talend Data Quality?
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics. Updated: March 2025.
845,406 professionals have used our research since 2012.