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Ataccama DQ Analyzer vs Talend Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary

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

Ataccama DQ Analyzer
Ranking in Data Scrubbing Software
6th
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Talend Data Quality
Ranking in Data Scrubbing Software
2nd
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
20
Ranking in other categories
Data Quality (6th)
 

Mindshare comparison

As of April 2025, in the Data Scrubbing Software category, the mindshare of Ataccama DQ Analyzer is 5.7%, down from 9.9% compared to the previous year. The mindshare of Talend Data Quality is 8.3%, down from 10.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software
 

Featured Reviews

Chuha Adequatov - PeerSpot reviewer
Is easy to deploy and is free, but marketing strategies need improvement
We use Ataccama DQ Analyzer to analyze data migration from one source to another. We use it to clean up the data I like that there is no need to buy a license. You can just download it and use it free. It is also easy to deploy. They could focus more on marketing the product. The current…
WesamHabboub - PeerSpot reviewer
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

"It is also easy to deploy."
"The data profile itself is excellent. You can understand the quality of the data in layman's terms."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"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."
"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 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."
"tLogRows are also great for finding bad data."
"The file fetch process is impeccable."
"It has definitely streamlined certain processes.​"
"Provides a flexible development environment to the coder.​"
 

Cons

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."
"They could focus more on marketing the product. The current marketing strategy is not working."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"You can't join more than two tables for analysis."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"I would say that some of the support elements need improvement."
"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."
"The ability to change the code when debugging the JavaScript could be improved."
 

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."
"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."
"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."
"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's a subscription-based platform, we renew it every year."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Energy/Utilities Company
11%
Manufacturing Company
9%
Insurance Company
8%
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

DQ Analyzer
No data available
 

Overview

 

Sample Customers

University of Arizona
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Ataccama DQ Analyzer vs. Talend Data Quality and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.