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Posidex Technologies Data Quality 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

Posidex Technologies Data Q...
Ranking in Data Scrubbing Software
8th
Average Rating
9.0
Number of Reviews
1
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 June 2025, in the Data Scrubbing Software category, the mindshare of Posidex Technologies Data Quality is 2.1%, down from 2.2% compared to the previous year. The mindshare of Talend Data Quality is 7.3%, down from 9.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software
 

Featured Reviews

reviewer797259 - PeerSpot reviewer
The data cleansing and standardization it offers has helped us in our credit decisions for underwriters
The primary use cases of the solution are: Ensuring data quality Data cleansing of the input data Deduplication of the customer and his/her demographic information from multiple data sources against the existing customer base. Scanning the customer records against the negative customer list…
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

"The data cleansing and standardization it offers, and near real-time response, has helped us in our credit decisions for underwriters, thereby getting the right customer onboarded."
"​It lowers the amount of time in development from weeks to a day.​"
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"The file fetch process is impeccable."
"The solution is customizable."
"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 has definitely streamlined certain processes.​"
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"​This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted.​"
 

Cons

"Having the solution in big data technologies is something Posidex is working on."
"There are too many functions which could be streamlined."
"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."
"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."
"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."
"The ability to change the code when debugging the JavaScript could be improved."
"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."
"I would say that some of the support elements need improvement."
 

Pricing and Cost Advice

Information not available
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Computer Software Company
15%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
 

Overview

 

Sample Customers

ICICI Bank, HDFC Bank, Reliance Capital, Tata Motor Finance Ltd, ICICI Prudential Life Insurance Company, Bharti Airtel Limited, Idea Cellular, Credit Information Bureau
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Experian, Talend, Melissa and others in Data Scrubbing Software. Updated: May 2025.
855,080 professionals have used our research since 2012.