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Alteryx vs Talend Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Alteryx
Average Rating
8.4
Number of Reviews
77
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (4th), Data Preparation Tools (1st)
Talend Data Quality
Average Rating
8.0
Number of Reviews
20
Ranking in other categories
Data Quality (6th), Data Scrubbing Software (1st)
 

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 24.4%, down 25.7% compared to last year.
Talend Data Quality, on the other hand, focuses on Data Quality, holds 3.7% mindshare, down 6.5% since last year.
Predictive Analytics
Data Quality
 

Featured Reviews

Vivek Vaibhav - PeerSpot reviewer
Mar 11, 2024
Has a good UI and drag-and-drop features which makes it easy to understand
There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx. Since most of our team members work with Alteryx, deploying workflows to clients who may not have licenses became a hurdle. Every user needed a license to run the workflows, which could pose difficulties, especially for clients who only needed occasional access for small data analyses. Unlike other software like Microsoft Power BI, which offers free trials or user licenses for basic functionality, Alteryx doesn't provide such options, potentially limiting its accessibility for occasional users. It should improve scalability.
WesamHabboub - PeerSpot reviewer
Jan 16, 2024
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 Alteryx is user-friendliness."
"The connectors are a very good feature."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"The modeling features are very good."
"The cloud deployment ensures it scales easily."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"It is efficient in optimizing our ability to get information."
"We are able to get emails from URLs very easily using this function when others fail."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"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."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"Provides a flexible development environment to the coder.​"
"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."
"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."
"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."
 

Cons

"The interface could be improved."
"It seems to me that it is not always user friendly."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"If there is any way to make the learning curve less steep, that would be ideal."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"Configuration is very low."
"The formula we currently use in Alteryx can be automated."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"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."
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"I would say that some of the support elements need improvement."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"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."
"SQL for displaying underlying data in non-match results does not work."
 

Pricing and Cost Advice

"​Very transparent.​"
"It has a good price."
"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's probably on the pricey side, but they provide some really useful ways to grow and test."
"We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money."
"The solution has a more costly license than other tools in the market."
"The designer has a list price of $5,995 USD."
"The license price of the solution is expensive."
"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."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"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
24%
Manufacturing Company
10%
Computer Software Company
8%
Healthcare Company
6%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
10%
Energy/Utilities Company
8%
 

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...
 

Learn More

 

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, RapidMiner and others in Predictive Analytics. Updated: November 2024.
814,649 professionals have used our research since 2012.