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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 (8th), Data Quality (2nd), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)
 

Mindshare comparison

As of October 2026, in the Data Scrubbing Software category, the mindshare of Posidex Technologies Data Quality is 2.7%, up from 2.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 10.4%, up from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud10.4%
Posidex Technologies Data Quality2.7%
Other86.9%
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…
Henrique Fsantos - PeerSpot reviewer
Data & Analytics Engineer at PicPay
Automated data pipelines have improved analytics workflows and provide trusted reporting data
The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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."
"I like everything about this product, but the biggest thing is the ease of use."
"Talend's most valuable feature is its ability to generate code and packages efficiently."
"Extract, Transform, and Load (ETL) transformations are open source and is a valuable feature."
"The primary use case is for data ingestion."
"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."
"The most valuable feature is the data loading and scripting language"
"Maybe the best thing is the product's easy start-up level when you are familiar with Java."
"It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time."
 

Cons

"Having the solution in big data technologies is something Posidex is working on."
"There are no natural connections for some of the applications that I use more regularly."
"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
"Processing large volumes of data sometimes consumes a lot of resources."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
 

Pricing and Cost Advice

Information not available
"The solution's pricing is very reasonable and half the cost of Informatica."
"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."
"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."
"I have been using the open-source version."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"License renewal is on a yearly basis."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
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: October 2026.
917,433 professionals have used our research since 2012.