Experian Data Quality vs Qlik Talend Cloud comparison

Why PeerSpot?

Experian and Qlik are both solutions in the Data Quality category. Experian is ranked #16, while Qlik is ranked #2 with an average rating of 7.9. Experian holds a 4.5% mindshare in DQ, compared to Qlik’s 6.8% mindshare. Additionally, 87% of Experian users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

Experian Data Quality

Read 7 Experian Data Quality reviews

3,751 Views
1,838 Comparison Views

87% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

21,375 Views
4,061 Comparison Views

89% willing to recommend

Experian Data Quality

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Experian Data Quality and Qlik Talend Cloud are competing products in the data management domain. Qlik Talend Cloud seems to have the upper hand with its comprehensive feature set that justifies its higher price.

Features: Experian Data Quality emphasizes data validation and enrichment to enhance accuracy, beneficial for organizations prioritizing data quality. Qlik Talend Cloud offers advanced data integration, extensive analytics functionalities, and seamless data processing across various platforms, providing a broader feature set for robust data management.

Room for Improvement: Experian Data Quality could improve by expanding its data integration and analytics functionalities to match competitors. Additional flexibility in deployment options and enhanced scalability would also be beneficial. For Qlik Talend Cloud, simplifying its setup process could attract more users, and reducing its high cost might make it accessible to a broader audience. Enhancing user interface intuitiveness would improve the user experience.

Ease of Deployment and Customer Service: Experian Data Quality ensures straightforward deployment with strong customer support, facilitating quick setup and effective troubleshooting. Meanwhile, Qlik Talend Cloud, while more complex to set up, offers extensive resource support and dedicated assistance, which benefits users leveraging its advanced functionalities.

Pricing and ROI: Experian Data Quality offers lower initial setup costs, providing a quicker ROI for businesses focused on data quality improvement. In contrast, Qlik Talend Cloud requires a larger upfront investment but delivers substantial long-term ROI due to its feature-rich platform and broad integration capabilities, appealing to organizations aiming for comprehensive data management solutions.

To learn more, read our detailed Experian Data Quality vs. Qlik Talend Cloud Report (Updated: November 2026).

Buyer's Guide

Experian Data Quality vs. Qlik Talend Cloud

November 2026

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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

Experian Data Quality

Ranking in Data Quality

16th

Ranking in Data Scrubbing Software

2nd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Quality

2nd

Ranking in Data Scrubbing Software

1st

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (7th), 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 Quality category, the mindshare of Experian Data Quality is 4.5%, up from 2.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.8%, up from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	6.8%
Experian Data Quality	4.5%
Other	88.7%

Data Quality

Featured Reviews

it_user187320

BI Developer at a manufacturing company with 1,001-5,000 employees

Fast in taking unstructured data, processing it and spitting out all the different data types. The team moved to SSIS/SSRS, I suspect it didn’t fit in with the goal of creating a data warehouse.

The manual calculations and formulae. They were a bit complex. The formulae were a bit abstract. Not easy to understand. Not intuitive. I sat beside an SSIS guru and he took one look at them and said “Good luck Geoff”. I coded them all and after I left, I got a call from a techy there asking me what they were all about! He hadn’t a clue how to unravel them, even with documentation. Also, they managed to accidentally delete them all. No idea how they did that. After a few panic-filled phone calls, they dropped the whole thing. It was a mess there. Glad I left.

Read full review

Henrique Fsantos

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.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The customer service was very good."

"The product allowed us to complete the project on time and within budget and is continuing to be used on subsequent Data Migration/Integration projects."

"Pandora provides a quick, efficient way to analyze, control and improve data using integrated technology."

"It is excellent for data profiling."

"It has given us the ability to build information that wasn’t otherwise there, to build confidence in our applications, to troubleshoot data effectively and focus our efforts on genuine errors."

"We were easily able to merge the two sets of data and find the inconsistencies between the two allowing us to complete this part of the project in speedy fashion."

"X88 gave a quick view of the quality of the data and a rapid way to fix issues before exporting for use."

"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."

"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 solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

"The solution is customizable."

"The primary use case is for data ingestion."

"The scheduling part of the solution is very good."

"tLogRows are also great for finding bad data."

"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."

More Qlik Talend Cloud pros

Cons

"The online training is very useful but needs expanding and updating – it has loads of potential."

"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."

"End to End connectivity could do with some improvement which I believe they are working on at this time."

"The free data profiler doesn't contain enough dashboards to give the user a better feel of the program."

"The tool was very unstable and was constantly hogging the resources, even if was not operating at the moment."

"It is way, way over-priced in my opinion."

"The stability for Talend Data Quality can be rated around an 8; it is quite stable."

"The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell."

"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."

"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."

"The product's setup process could be simpler."

"I wonder if, at the same price, the API component could be added, which would be beneficial."

"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."

"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"It's a subscription-based platform, we renew it every year."

"The licensing cost is about 40,000 Euros a 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 would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"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."

"I have been using the open-source version."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Retailer

11%

Financial Services Firm

11%

Manufacturing Company

Comms Service Provider

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

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 ...

See all answers

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...

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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...

See all answers

Comparisons

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Data8 Data Quality vs Experian Data Quality

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Informatica Intelligent Data Management Cloud (IDMC) vs Experian Data Quality

Compared 5% of the time

Oracle Enterprise Data Quality (EDQ) vs Experian Data Quality

Compared 4% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Striim vs Qlik Talend Cloud

Compared 1% of the time

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Product Reports

Buyer's Guide

Data Quality

October 2026

Download Experian Data Quality product report

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

Also Known As

QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

Experian Data Quality offers advanced tools to manage and enhance data integrity, supporting businesses in making informed decisions. It provides sophisticated solutions to maintain data accuracy and consistency across platforms.

Experian Data Quality is designed to handle complex data requirements with ease. Its tools are essential for organizations that demand precise and reliable data management. Users benefit from accurate data profiling, which ensures data quality at every level. Its flexible data management capabilities allow businesses to adapt to changing data landscapes seamlessly, enhancing operational efficiency and decision-making processes.

What are the key features of Experian Data Quality?

Data Profiling: Offers insights to improve data integrity.
Data Cleansing: Ensures information accuracy by removing errors.
Data Enrichment: Enhances data with additional context.
Data Integration: Seamless integration with business systems.
Data Monitoring: Tracks data quality over time.

What benefits and ROI should users look for in reviews?

Enhanced Decision-Making: Accurate data leads to smarter business decisions.
Operational Efficiency: Streamlined data processes improve productivity.
Cost Reduction: Minimizes losses due to erroneous data.
Customer Insight: Better data clarity aids in understanding customer behavior.

Experian Data Quality is widely implemented in sectors such as finance, healthcare, and retail, where maintaining data accuracy is critical. These industries rely on the platform to deliver consistent and precise data for compliance and strategic initiatives. Its capacity to adapt to different industry standards makes it an integral tool for businesses seeking efficient data management solutions.

Experian

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Overstock.com, Cabela, Drugstore.com, Saks Fifth Avenue, Midmark, Umpqua Bank, Colorado Department of Labor & Employment, Fresno Pacific University, University of North Texas, ALDO

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Experian Data Quality vs. Qlik Talend Cloud

November 2026

Free Report: Experian Data Quality vs. Qlik Talend Cloud

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We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.