Compare Alteryx vs. Talend Data Quality

Alteryx is ranked 1st in Predictive Analytics with 9 reviews while Talend Data Quality is ranked 2nd in Data Scrubbing Software with 9 reviews. Alteryx is rated 9.2, while Talend Data Quality is rated 8.2. The top reviewer of Alteryx writes "Speeds up the time to obtain business answers/insights on data". On the other hand, the top reviewer of Talend Data Quality writes "Visual jobs are easier to understand than a piece of Java code and improve collaboration between colleagues". Alteryx is most compared with KNIME, Dataiku Data Science Studio and Microsoft BI, whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer and Melissa Data Quality.
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Alteryx Logo
25,558 views|20,013 comparisons
Talend Data Quality Logo
2,101 views|1,229 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, Information Builders, RapidMiner and others in Predictive Analytics. Updated: August 2019.
365,533 professionals have used our research since 2012.
Quotes From Members

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

Pros
Shortens 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.Alteryx speeds up the time to obtain business answers/insights on data.It is one of the most complete and great customer service that I experienced with a software company/ecosystem.The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy.It helps clean messy data and provides spatial analysis.It saves time on a lot projects. ​The analytics are easy​.It allows for manipulation and automation, which has greatly reduced the amount of time required per project.

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With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.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 Studio is easy to understand.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.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.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 numerous components provided by Talend mean you’re able to create jobs quickly and efficiently.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.

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Cons
Even when it already includes some AI models, this area could be improved.It would be great to create the final users' visualization within Alteryx.I think better visualization would be helpful to this solution.It is a little bit pricey.It seems to me that it is not always user friendly.Alteryx could be improved in the area of analytics and central governance.The next feature release should include easier reporting.In the database, it should be more functional and connect to more big data, especially using IPI.

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You can't join more than two tables for analysis.SQL for displaying underlying data in non-match results does not work.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.Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data.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.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.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.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.

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Pricing and Cost Advice
Opt for the three year subscription. It is 20% less than the yearly one.ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less.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).​It can be a bit pricey, especially after the first year.The seat is too expensive.​Very transparent.​

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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.

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Ranking
1st
Views
25,558
Comparisons
20,013
Reviews
9
Average Words per Review
232
Avg. Rating
9.2
2nd
Views
2,101
Comparisons
1,229
Reviews
9
Average Words per Review
292
Avg. Rating
8.1
Top Comparisons
Compared 31% of the time.
Compared 6% of the time.
Compared 44% of the time.
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Alteryx
Talend
Overview

Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.

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.
Offer
Learn more about Alteryx
Learn more about Talend Data Quality
Sample Customers
AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy QueenAliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Top Industries
REVIEWERS
University13%
Comms Service Provider13%
Software R&D Company13%
Manufacturing Company13%
VISITORS READING REVIEWS
Financial Services Firm24%
Software R&D Company15%
Manufacturing Company12%
Comms Service Provider7%
No Data Available
Find out what your peers are saying about Alteryx, Information Builders, RapidMiner and others in Predictive Analytics. Updated: August 2019.
365,533 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.
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