CloverDX Designer vs Qlik Compose comparison

Why PeerSpot?

CloverDX and Qlik are both solutions in the Data Integration category. CloverDX is ranked #88, while Qlik is ranked #55. CloverDX holds a 0.4% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 100% of CloverDX users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

CloverDX Designer

Read 1 CloverDX Designer review

1,012 Views
982 Comparison Views

100% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,883 Views
2,306 Comparison Views

81% willing to recommend

CloverDX Designer

Qlik Compose

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between CloverDX Designer and Qlik Compose based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration.

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

Buyer's Guide

Data Integration

August 2026

Download the complete report

Helped 913,422 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

88th

Average Rating

7.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Compose

Ranking in Data Integration

55th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of CloverDX Designer is 0.4%, up from 0.3% compared to the previous year. The mindshare of Qlik Compose is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Compose	0.8%
CloverDX Designer	0.4%
Other	98.8%

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.

Read full review

Susheel A

Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees

Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal

It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it. When it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

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

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

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."

"It can scale."

"It's a stable solution."

"I have found it to be a very good, stable, and strong product."

"Qlik Compose is good enough. It is user-friendly and intuitive."

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

More Qlik Compose 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."

"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."

"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."

"Qlik's ETL and data transformation could be better."

"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."

"I'd like to have access to more developer training materials."

"I don't think Qlik can be used in a high-volume scenario. It didn't work for us."

More Qlik Compose cons

Pricing and Cost Advice

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

"The price of the solution is expensive."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

913,422 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Construction Company

10%

Comms Service Provider

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

Questions from the Community

Ask a question

Earn 20 points

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

See all answers

Comparisons

SAP Data Services vs CloverDX Designer

Compared 43% of the time

SSIS vs CloverDX Designer

Compared 40% of the time

Ab Initio Co>Operating System vs CloverDX Designer

Compared 11% of the time

More CloverDX Designer Competitors

Qlik Replicate vs Qlik Compose

Compared 8% of the time

AWS Database Migration Service vs Qlik Compose

Compared 8% of the time

SSIS vs Qlik Compose

Compared 7% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 5% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Data Integration

August 2026

Download CloverDX Designer product report

Buyer's Guide

Qlik Compose

August 2026

Download Qlik Compose product report

Also Known As

No data available

Compose, Attunity Compose

Overview

CloverDX Designer is a robust data integration platform offering advanced capabilities for data transformation and workflow automation, making it a versatile choice for those with intricate data management tasks.

Designed for users looking to streamline complex data processes, CloverDX Designer provides an intuitive yet powerful interface for designing, testing, and deploying data pipelines. Its primary functions include data integration, transformation, and managing intricate data workflows, catering to professionals who require flexibility and reliability in data handling.

What are the key features of CloverDX Designer?

Data Transformation: Enables conversion and mapping of data between formats.
Workflow Automation: Streamlines repetitive tasks for efficiency.
Scalability: Adapts to growing data volumes with ease.
Debugging Tools: Offers efficient ways to test and troubleshoot data flows.

What benefits or ROI aspects should be evaluated?

Cost Efficiency: Reduces manual data handling expenses.
Time Saving: Accelerates data processing and project deployment.
Customization: Offers flexibility tailored to specific needs.
Improved Data Accuracy: Ensures accurate processes with validation features.

In industries like finance, healthcare, and retail, CloverDX Designer is implemented to handle complex data transformations, automate regulatory reporting, and manage customer insights efficiently. Its versatility makes it suitable for any sector requiring reliable data integration solutions.

CloverDX

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

Sample Customers

Allant Group, NDP, Porch, GoodData

Poly-Wood

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

DOWNLOAD NOW

913,422 professionals have used our research since 2012.

See our list of best Data Integration vendors.

We monitor all Data Integration 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.