Alteryx vs Talend Data Quality comparison

The compared Alteryx and Talend solutions aren't in the same category. Alteryx is ranked #1 in PA , with an average rating of 8.0, and holds a 14.0% mindshare in the category. Talend is ranked #5 in DQ , with an average rating of 8.0, and holds a 4.9% mindshare. Additionally, 88% of Alteryx users are willing to recommend the solution, compared to 90% of Talend users who would recommend it.

Alteryx

Read 83 Alteryx reviews

7,140 Views
928 Comparison Views

88% willing to recommend

Talend Data Quality

Read 21 Talend Data Quality reviews

1,324 Views
1,019 Comparison Views

90% willing to recommend

Alteryx

Talend Data Quality

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Alteryx and Talend Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics.

To learn more, read our detailed Predictive Analytics Report (Updated: October 2025).

Buyer's Guide

Predictive Analytics

October 2025

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Helped 872,019 peers since 2012

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

Ranking in other categories

Predictive Analytics (1st), Data Science Platforms (5th), Data Preparation Tools (1st)

Talend Data Quality

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Quality (5th), Data Scrubbing Software (4th)

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 14.0%, down 25.1% compared to last year.
Talend Data Quality, on the other hand, focuses on Data Quality, holds 4.9% mindshare, down 6.1% since last year.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Alteryx	14.0%
Anaplan	13.8%
SAP Analytics Cloud	12.7%
Other	59.5%

Predictive Analytics

Data Quality Market Share Distribution
Product	Market Share (%)
Talend Data Quality	4.9%
Informatica Intelligent Data Management Cloud (IDMC)	10.8%
SAP Data Services	7.0%
Other	77.3%

Data Quality

Featured Reviews

Theresa McLaughlin

Senior Capacity Planner at a financial services firm with 10,001+ employees

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.

Read full review

Karthik Babu

Senior Consultant at a tech services company with 201-500 employees

Have consistently ensured data accuracy and validation with built-in algorithms

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.

Read full review

Quotes from Members

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

Pros

"The product's most valuable features include its ease of use for non-technical users and machine learning capabilities."

"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."

"Technical support is very helpful."

"Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."

"The most valuable feature for me is integration."

"The solution has excellent drag and drop functionality. There's no need for coding."

"The most valuable feature of Alteryx is user-friendliness."

"The initial setup is easy."

More Alteryx pros

"The file fetch process is impeccable."

"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 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 numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"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."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

"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 solution is customizable."

More Talend Data Quality pros

Cons

"Alteryx needs to focus on the supply chain aspect since detecting financial figures and data anomalies is currently insufficient."

"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."

"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."

"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."

"In the database, it should be more functional and connect to more big data, especially using IPI."

"The interface could be improved."

"The GUI interface functions but it could stand to be updated to a more modern look and feel."

"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."

More Alteryx cons

"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."

"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."

"The ability to change the code when debugging the JavaScript could be improved."

"SQL for displaying underlying data in non-match results does not work."

"There are too many functions which could be streamlined."

"You can't join more than two tables for analysis."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

More Talend Data Quality cons

Pricing and Cost Advice

"It's probably on the pricey side, but they provide some really useful ways to grow and test."

"The price could be better."

"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."

"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."

"The cost of Alteryx is approximately $2,900 annually."

"I rate the solution's pricing as a ten, as it is highly priced."

"I don't know much about the licensing, but there are some additional costs for certain features."

"The cost of the solution could be reduced."

More Alteryx pricing and cost advice

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"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."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Manufacturing Company

Computer Software Company

Retailer

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	15
Large Enterprise	51

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	4

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.

See all answers

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...

See all answers

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...

See all answers

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.

See all answers

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...

See all answers

What is your primary use case for Talend Data Quality?

We recently deployed it for one of our clients, who use it to enhance the quality of their government-related customer data. The primary focus is on ensuring compliance with government policies, an...

See all answers

Comparisons

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Databricks vs Alteryx

Compared 11% of the time

Altair RapidMiner vs Alteryx

Compared 6% of the time

Tableau Enterprise vs Alteryx

Compared 4% of the time

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Ataccama ONE Platform vs Talend Data Quality

Compared 19% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality

Compared 18% of the time

ibi Data Quality vs Talend Data Quality

Compared 12% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 10% of the time

Informatica Cloud Data Quality vs Talend Data Quality

Compared 9% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Alteryx

October 2025

Download Alteryx product report

Buyer's Guide

Talend Data Quality

October 2025

Download Talend Data Quality product report

Overview

Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

With Alteryx You Can:

Prep, blend, and analyze data
Deliver faster, better business outcomes
Automate analytics and data science
Embed intelligent decisioning
Deploy and share analytics in hours

Alteryx Features Include:

Some of the most valuable Alteryx features include:

Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

Alteryx Can Be Used For:

Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.
Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.
Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.
Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).
Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

Alteryx Benefits

Some of the benefits of using Alteryx include
:

Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.
Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.
Excellent workflow compatibility.
Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.
Fast data loading: Alteryx has tools that make it very effective when working with big data sets.
No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.
Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

Reviews from Real Users

"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company

Alteryx

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

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: October 2025.

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