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 867,497 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

"Alteryx effectively visualizes the flow of data and what happens at each stage. I also like that it's a no-code solution. I also like that you can troubleshoot certain parts of the workflow by putting them in a sandbox."

"The analytics are easy."

"Technical support is very helpful."

"Good data transformation."

"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."

"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."

"Alteryx is a simple and easy-to-use solution."

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

More Alteryx pros

"We are able to get emails from URLs very easily using this function when others fail."

"The file fetch process is impeccable."

"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."

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"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."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

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

More Talend Data Quality pros

Cons

"They should make the solution user-friendly for nontechnical people by giving specific names to the options."

"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."

"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."

"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."

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

"A colleague of mind mentioned that the solution should have more options for the visualization of data."

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

"The workflow and pipeline need to improve."

More Alteryx cons

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

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

"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."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

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

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

"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."

More Talend Data Quality cons

Pricing and Cost Advice

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

"It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions)."

"The designer has a list price of $5,995 USD."

"There is a license required for this solution."

"The designer license costs 5000 euros. The server edition is 1000 euros."

"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."

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

"Alteryx is an expensive solution."

More Alteryx pricing and cost advice

"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 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."

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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

Comparisons

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Compared 17% of the time

KNIME Business Hub vs Alteryx

Compared 15% of the time

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

More Alteryx Competitors

Ataccama ONE Platform vs Talend Data Quality

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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