CloverDX Designer vs Qlik Talend Cloud comparison

CloverDX and Qlik are both solutions in the Data Integration category. CloverDX is ranked #86, while Qlik is ranked #5 with an average rating of 8.0. CloverDX holds a 0.4% mindshare in DI, compared to Qlik’s 2.4% mindshare. Additionally, 100% of CloverDX users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

CloverDX Designer

Read 1 CloverDX Designer review

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432 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

8,555 Views
3,850 Comparison Views

88% willing to recommend

CloverDX Designer

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and CloverDX Designer are competitors in the data integration space. CloverDX Designer seems to have the upper hand in terms of features and customization, although Qlik Talend Cloud takes the lead in pricing and support options.

Features: Qlik Talend Cloud provides comprehensive integration capabilities, scalability, and suitability for varied data environments. CloverDX Designer, however, offers advanced data transformation, workflow capabilities, and higher customization and flexibility with deeper data processing proficiency.

Ease of Deployment and Customer Service: Qlik Talend Cloud features a straightforward cloud-based deployment with robust support options. CloverDX Designer, although more complex to deploy owing to its customization, benefits from strong customer service, appealing to users with detailed data handling needs.

Pricing and ROI: Qlik Talend Cloud is cost-effective with a swift ROI, favoring budget-conscious businesses. CloverDX Designer, despite its higher initial investment, delivers long-term value and ROI for enterprises requiring sophisticated data processing.

To learn more, read our detailed Data Integration Report (Updated: March 2026).

Buyer's Guide

Data Integration

March 2026

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Helped 885,444 peers since 2012

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

CloverDX Designer

Ranking in Data Integration

86th

Average Rating

7.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Integration

5th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of April 2026, in the Data Integration category, the mindshare of CloverDX Designer is 0.4%, up from 0.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.4%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.4%
CloverDX Designer	0.4%
Other	97.2%

Data Integration

Featured Reviews

reviewer1518951

Data professional at a financial services firm with 1,001-5,000 employees

Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring

If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler.

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Herivao Jus Winny

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.

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Quotes from Members

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

Pros

"Its simplicity and the way it handles graphs are the most valuable features."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"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."

"I think Talend is one of the easiest tools for faster implementation compared to other tools."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"Extract, Transform, and Load (ETL) transformations are open source and is a valuable feature."

"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."

"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."

"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

"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."

"Once you get past the basic tools, it gets pretty complicated."

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

"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."

"Sometimes when working with larger datasets (possibly due to insufficient memory)."

"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."

"The solution's memory sometimes bottlenecks and that can be challenging."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"Its price and value for money would be okay for our purpose if there were some additional features."

"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 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 solution's pricing is very reasonable and half the cost of Informatica."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

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

"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."

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

"The tool is cheap."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

12%

Computer Software Company

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
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 ...

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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...

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Comparisons

SAP Data Services vs CloverDX Designer

Compared 62% of the time

SSIS vs CloverDX Designer

Compared 38% of the time

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

Compared 5% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 3% of the time

n8n vs Qlik Talend Cloud

Compared 3% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Data Integration

March 2026

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Buyer's Guide

Qlik Talend Cloud

March 2026

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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

We help clients build and manage better data pipelines, with the CloverDX Data Management Platform and our in-house team of data experts.

Founded in 2007, we now have offices in the US, UK and Czech Republic, and work with some of the world’s leading companies in industries such as finance, healthcare and consulting.

CloverDX

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

Allant Group, NDP, Porch, GoodData

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration. Updated: March 2026.

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