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 8.4, and holds a 22.9% mindshare in the category. Talend is ranked #6 in DQ , with an average rating of 8.0, and holds a 3.6% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Alteryx

Read 81 Alteryx reviews

1,481 Views
961 Comparison Views

89% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

777 Views
369 Comparison Views

89% willing to recommend

Alteryx

Talend Data Quality

Comparison Buyer's Guide

Download the report

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, RapidMiner and others in Predictive Analytics.

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

Buyer's Guide

Predictive Analytics

February 2025

Download the complete report

Helped 841,004 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 (4th), Data Preparation Tools (1st)

Talend Data Quality

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

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 22.9%, down 26.4% compared to last year.
Talend Data Quality, on the other hand, focuses on Data Quality, holds 3.6% mindshare, down 5.0% since last year.

Predictive Analytics

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

"It offered quick development, with the ability to process large datasets."

"I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful."

"The scheduling within the solution is excellent."

"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."

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

"Geo features have made spatial mapping large retail universes possible."

"The cloud deployment ensures it scales easily."

"I like the fact that you can easily blend data from different platforms."

More Alteryx pros

"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

"tLogRows are also great for finding bad data."

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

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

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

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

"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."

More Talend Data Quality pros

Cons

"Lacks an open source edition which would be helpful."

"The solution could work on the BI side of the tool to make it a bit better."

"The software is not fully optimized."

"The workflow and pipeline need to improve."

"I'd like to see more artificial intelligence business tools or features in Alteryx."

"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."

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

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

More Alteryx cons

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

"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."

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

"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 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."

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

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

More Talend Data Quality cons

Pricing and Cost Advice

"The license price of the solution is expensive."

"Alteryx isn't extortionately expensive, but it's not cheap either."

"Alteryx is an expensive solution."

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

"Very transparent."

"The pricing is $5000 per year per production license."

"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."

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

More Alteryx pricing and cost advice

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

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Predictive Analytics solutions are best for your needs.

See recommendations

841,004 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

24%

Manufacturing Company

10%

Computer Software Company

Healthcare Company

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

10%

Government

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.

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

Dataiku vs Alteryx

Compared 17% of the time

KNIME vs Alteryx

Compared 16% of the time

Databricks vs Alteryx

Compared 11% of the time

Altair RapidMiner vs Alteryx

Compared 7% of the time

Tableau vs Alteryx

Compared 5% of the time

More Alteryx Competitors

Ataccama DQ Analyzer vs Talend Data Quality

Compared 38% of the time

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

Compared 20% of the time

Ataccama ONE Platform vs Talend Data Quality

Compared 14% of the time

Experian Data Quality vs Talend Data Quality

Compared 9% of the time

Melissa Data Quality vs Talend Data Quality

Compared 9% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Alteryx

March 2025

Download Alteryx product report

Buyer's Guide

Talend Data Quality

February 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, RapidMiner and others in Predictive Analytics. Updated: February 2025.

DOWNLOAD NOW

841,004 professionals have used our research since 2012.

We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.