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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
82
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 most valuable feature of this solution is data preparation."
"The product's Macros probably are one of the most useful aspects."
"The GUI is simple and it integrates with Python."
"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."
"The connectors are a very good feature."
"The initial setup is easy."
"Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"​This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted.​"
"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"The Studio is easy to understand."
"tLogRows are also great for finding bad data."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
 

Cons

"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The next feature release should include easier reporting."
"The formula we currently use in Alteryx can be automated."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"The principal problem is the pricing. They're expensive products."
"There is currently no cloud solution and this would be valuable for many clients."
"It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting."
"The ability to change the code when debugging the JavaScript could be improved."
"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."
"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."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"I would say that some of the support elements need improvement."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
 

Pricing and Cost Advice

"In my opinion, it's actually quite expensive."
"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."
"The cost of Alteryx is approximately $2,900 annually."
"​Very transparent.​"
"The designer license costs 5000 euros. The server edition is 1000 euros."
"The cost of the solution could be reduced."
"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."
"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."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
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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
14%
Computer Software Company
14%
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.
849,190 professionals have used our research since 2012.