CloverETL vs Qlik Compose comparison

Javlin and Qlik are both solutions in the Data Integration category. Javlin is ranked #59, while Qlik is ranked #45. Javlin holds a 0.7% mindshare in DI, compared to Qlik’s 0.9% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

CloverETL

Read 2 CloverETL reviews

912 Views
556 Comparison Views

100% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

1,513 Views
1,316 Comparison Views

81% willing to recommend

CloverETL

Qlik Compose

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

CloverETL and Qlik Compose are competing in the data management category. Qlik Compose seems to have the upper hand for those preferring comprehensive functionalities due to its robust feature set.

Features: CloverETL offers a user-friendly environment, flexible data transformation capabilities, and simple integration. Qlik Compose supports data automation, advanced data warehousing, and extensive transformation functionalities.

Ease of Deployment and Customer Service: CloverETL offers straightforward deployment backed by reliable customer support, which facilitates smooth adoption. Qlik Compose's deployment is more complex due to its feature-heavy nature but is supported by detailed documentation and extensive support resources.

Pricing and ROI: CloverETL provides competitive pricing with a strong ROI, catering well to businesses focusing on cost-efficiency. Qlik Compose, with a higher upfront cost, delivers robust ROI through its scalability and comprehensive capabilities, appealing to larger organizations.

To learn more, read our detailed CloverETL vs. Qlik Compose Report (Updated: January 2026).

Buyer's Guide

CloverETL vs. Qlik Compose

January 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

CloverETL

Ranking in Data Integration

59th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (33rd)

Qlik Compose

Ranking in Data Integration

45th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of CloverETL is 0.7%, up from 0.2% compared to the previous year. The mindshare of Qlik Compose is 0.9%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Qlik Compose	0.9%
CloverETL	0.7%
Other	98.4%

Data Integration

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

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Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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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

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"No dependence on native language and ease of use."

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

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

"It is a scalable solution."

"The technical support is very good. I rate the technical support a ten out of ten."

"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."

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

"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's a stable solution."

More Qlik Compose pros

Cons

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Its documentation could be improved."

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"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 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."

"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."

"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

"There should be proper documentation available for the implementation process."

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

"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."

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

More Qlik Compose cons

Pricing and Cost Advice

Information not available

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

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

"The price of the solution is expensive."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Government

12%

Manufacturing Company

Insurance 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

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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...

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CData Drivers vs CloverETL

Compared 15% of the time

Palantir Foundry vs CloverETL

Compared 11% of the time

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Compared 20% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 12% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 11% of the time

Palantir Foundry vs Qlik Compose

Compared 9% of the time

Azure Data Factory vs Qlik Compose

Compared 7% of the time

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Product Reports

Buyer's Guide

Data Integration

January 2026

Download CloverETL product report

Buyer's Guide

Qlik Compose

January 2026

Download Qlik Compose product report

Also Known As

No data available

Compose, Attunity Compose

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility.

Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

Qlik

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

Poly-Wood

Buyer's Guide

CloverETL vs. Qlik Compose

January 2026

Free Report: CloverETL vs. Qlik Compose

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