CloverETL vs IBM Cloud Pak for Data comparison

Javlin and IBM are both solutions in the Data Integration category. Javlin is ranked #57, while IBM is ranked #16 with an average rating of 8.3. Javlin holds a 0.8% mindshare in DI, compared to IBM’s 1.3% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 90% of IBM users who would recommend it.

CloverETL

Read 2 CloverETL reviews

1,146 Views
699 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Read 18 IBM Cloud Pak for Data reviews

2,412 Views
2,243 Comparison Views

90% willing to recommend

CloverETL

IBM Cloud Pak for Data

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Executive SummaryUpdated on Dec 19, 2024

CloverETL and IBM Cloud Pak for Data compete in the ETL and data management space. While CloverETL is cost-effective, IBM Cloud Pak for Data is perceived as superior due to its comprehensive features and advanced analytics.

Features: CloverETL provides robust data transformation capabilities, intuitive graphical design, and connectivity to various data sources. IBM Cloud Pak for Data offers advanced predictive analytics, AI integration, and seamless collaboration features. The significant distinguishing factors are IBM's advanced functionalities and broader data integration.

Ease of Deployment and Customer Service: CloverETL is valued for its straightforward deployment process and accessible customer support. In contrast, IBM Cloud Pak for Data has more complex deployment due to its extensive features, but it offers robust enterprise support. Differences lie in CloverETL's simplicity, whereas IBM provides more comprehensive service options with potentially higher complexity.

Pricing and ROI: CloverETL is noted for its competitive pricing model and efficient ROI with minimal setup costs. IBM Cloud Pak for Data involves a higher initial investment but offers more potential for long-term ROI through its advanced capabilities. The key distinction is CloverETL's affordability and faster ROI versus IBM's scalability and extensive offerings for potentially higher ROI.

To learn more, read our detailed CloverETL vs. IBM Cloud Pak for Data Report (Updated: March 2026).

Buyer's Guide

CloverETL vs. IBM Cloud Pak for Data

March 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

57th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (34th)

IBM Cloud Pak for Data

Ranking in Data Integration

16th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.1% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
IBM Cloud Pak for Data	1.3%
CloverETL	0.8%
Other	97.9%

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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ArchanaSingh

Senior Data Analyst at Wipro Limited

Collaborative data platform has transformed analytics and now drives faster decisions

The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.

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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

"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."

"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."

"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."

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

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

"DataStage allows me to connect to different data sources."

"Its data preparation capabilities are highly valuable."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"For us, IBM Cloud Pak for Data is the best option on the market at the moment."

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds."

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."

More IBM Cloud Pak for Data pros

Cons

"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."

"Its documentation could be improved."

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

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

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

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"IBM Cloud Pak for Data uses a lot of resources and it is not very resource-economic."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output."

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

"The technical support could be a little better."

"The solution's catalog searching or map search needs to be improved."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

Information not available

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

"The solution's pricing is competitive with that of other vendors."

"Cloud Pak's cost is a little high."

"I think that this product is too expensive for smaller companies."

"It's quite expensive."

"The solution is expensive."

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

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Top Industries

By visitors reading reviews

Construction Company

27%

Manufacturing Company

13%

Computer Software Company

10%

Retailer

Financial Services Firm

21%

Manufacturing Company

10%

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	8
Large Enterprise	15

Questions from the Community

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What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...

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What needs improvement with IBM Cloud Pak for Data?

I think we are happy with IBM Cloud Pak for Data, and there is no specific idea that comes to my mind regarding room for improvement. We are following the progress and the new features, so overall ...

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What is your primary use case for IBM Cloud Pak for Data?

I usually recommend IBM Cloud Pak for Data for companies in the financial sector, as we are mostly working with local insurance companies and banks within Hungary where we are located. For IBM Clou...

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Product Reports

Buyer's Guide

Data Integration

March 2026

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Buyer's Guide

IBM Cloud Pak for Data

March 2026

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Also Known As

No data available

Cloud Pak for Data

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

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

Sample Customers

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

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Buyer's Guide

CloverETL vs. IBM Cloud Pak for Data

March 2026

Free Report: CloverETL vs. IBM Cloud Pak for Data

Find out what your peers are saying about CloverETL vs. IBM Cloud Pak for Data and other solutions. Updated: March 2026.

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