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Ixsight Data Quality vs Qlik Talend Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 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

Ixsight Data Quality
Ranking in Data Scrubbing Software
12th
Average Rating
8.0
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 (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of November 2026, in the Data Scrubbing Software category, the mindshare of Ixsight Data Quality is 1.8%, down from 2.7% compared to the previous year. The mindshare of Qlik Talend Cloud is 10.8%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud10.8%
Ixsight Data Quality1.8%
Other87.4%
Data Scrubbing Software
 

Featured Reviews

it_user826683 - PeerSpot reviewer
EVP & Head SDG
Dedupe helps us identify customer relationships as well as non-performing assets
We are using it primarily as a dedupe application. Our bank has multiple customer onboarding applications (different ones for trade products, non-trade, micro finance products, consumer finance products) and we use Ixsight to dedupe the customer across applications so that we know the customer's…
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

"We are using it primarily as a dedupe application, and we use Ixsight to dedupe the customer across applications so that we know the customer's relationship across the bank."
"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."
"If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend."
"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"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."
"We can develop our own code if we do not see the functionality we need."
"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."
"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."
 

Cons

"I would like them to evolve the product's online strategy, as more and more the need is for a "prefacto" dedupe (before creating the customer)."
"Processing large volumes of data sometimes consumes a lot of resources."
"The setup cost is very expensive."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"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."
"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."
"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."
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
 

Pricing and Cost Advice

Information not available
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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."
"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The tool is cheap."
"It's a subscription-based platform, we renew it every year."
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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

Axis Bank, Barclays, IndusInd Bank, Oriental Bank of Commerce, Tata Sky, Save the Children, Merkle Inc., Naaptol, Volkswagen, Voltas, Schneider Electric, Future Generali, HDFC Life, Bajaj Finserv, Indiabulls, Ranbaxy Laboratories
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.
920,769 professionals have used our research since 2012.