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Posidex Technologies Data Quality vs Qlik Talend Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
9th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Scrubbing Software
1st
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of September 2026, in the Data Scrubbing Software category, the mindshare of Posidex Technologies Data Quality is 2.9%, up from 2.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 9.6%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud9.6%
Posidex Technologies Data Quality2.9%
Other87.5%
Data Scrubbing Software
 

Featured Reviews

reviewer797259 - PeerSpot reviewer
Consultant at a university with 501-1,000 employees
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…
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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."
"The solution is customizable."
"Talend is user-friendly and has many components and connectors, which makes it a great choice."
"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."
"The process of upgrading the software is quite easy."
"We are able to get emails from URLs very easily using this function when others fail."
"You move data from one source to another without problem and apply some business rules in data."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
 

Cons

"Having the solution in big data technologies is something Posidex is working on."
"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."
"Qlik Talend Cloud has impacted my organization by increasing the license cost, leading many companies to decide to decommission Talend, as they find the cost too high."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."
"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."
"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."
"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."
 

Pricing and Cost Advice

Information not available
"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"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."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
10%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

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 Qlik, Experian, Ataccama and others in Data Scrubbing Software. Updated: September 2026.
913,683 professionals have used our research since 2012.