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 8.2, and holds a 15.0% mindshare in the category. Talend is ranked #5 in DQ , with an average rating of 8.0, and holds a 4.7% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Alteryx

Read 82 Alteryx reviews

7,775 Views
1,011 Comparison Views

89% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,368 Views
1,053 Comparison Views

89% 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, Altair, SAP and others in Predictive Analytics.

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

Buyer's Guide

Predictive Analytics

September 2025

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Helped 867,676 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

7.0

Number of Reviews

Ranking in other categories

Data Quality (5th), Data Scrubbing Software (3rd)

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 15.0%, down 25.1% compared to last year.
Talend Data Quality, on the other hand, focuses on Data Quality, holds 4.7% mindshare, down 6.5% since last year.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Alteryx	15.0%
Anaplan	13.8%
SAP Analytics Cloud	12.8%
Other	58.4%

Predictive Analytics

Data Quality Market Share Distribution
Product	Market Share (%)
Talend Data Quality	4.7%
Informatica Intelligent Data Management Cloud (IDMC)	11.2%
SAP Data Services	7.4%
Other	76.7%

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

WesamHabboub

Chief Consultant at Insight360

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.

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 drag and drop and layout is simple to understand, with intuitive names of features."

"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."

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

"The cloud deployment ensures it scales easily."

"The three data signs and data engineering are great features."

"Alteryx speeds up the time to obtain business answers/insights on data."

"It helps clean messy data and provides spatial analysis."

"The analytics are easy."

More Alteryx pros

"It has definitely streamlined certain processes."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"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 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."

"The solution is customizable."

"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."

"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."

"It lowers the amount of time in development from weeks to a day."

More Talend Data Quality pros

Cons

"The solution can be quite complex in some aspects."

"More statistics tools: We can use to compare SPSS statistics with some automated advisory."

"Its most valuable feature lies in its functionality."

"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."

"There is currently no cloud solution and this would be valuable for many clients."

"The formula we currently use in Alteryx can be automated."

"The workflow and pipeline need to improve."

"Licensing negotiations were problematic, affecting our product usage."

More Alteryx cons

"I would say that some of the support elements need improvement."

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

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"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."

"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."

"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."

"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."

More Talend Data Quality cons

Pricing and Cost Advice

"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."

"It has a good price."

"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."

"Very transparent."

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

"In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."

"It is an expensive solution."

"There are some implementation services and internal effort costs at the beginning but there is nothing else."

More Alteryx pricing and cost advice

"It's a subscription-based platform, we renew it every year."

"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."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

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

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

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Manufacturing Company

Computer Software Company

Retailer

Computer Software Company

13%

Financial Services Firm

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	14
Large Enterprise	51

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	3
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 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...

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

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Tableau Enterprise vs Alteryx

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Compared 24% of the time

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

Compared 20% of the time

ibi Data Quality vs Talend Data Quality

Compared 13% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 11% of the time

Precisely Trillium vs Talend Data Quality

Compared 9% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Alteryx

September 2025

Download Alteryx product report

Buyer's Guide

Talend Data Quality

August 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, Altair, SAP and others in Predictive Analytics. Updated: September 2025.

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