CloverETL vs IBM Cloud Pak for Data comparison

Javlin and IBM are both solutions in the Data Integration category. Javlin is ranked #65, while IBM is ranked #25 with an average rating of 8.0. Javlin holds a 0.2% mindshare in DI, compared to IBM’s 1.8% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

CloverETL

Read 2 CloverETL reviews

197 Views
151 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,646 Views
1,868 Comparison Views

86% 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: April 2025).

Buyer's Guide

CloverETL vs. IBM Cloud Pak for Data

April 2025

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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

65th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (49th)

IBM Cloud Pak for Data

Ranking in Data Integration

25th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of CloverETL is 0.2%, up from 0.1% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.8%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

it_user854766

Vice President, Information and Technology Services at a tech services company with 11-50 employees

Provides wealth of pre-defined, customizable components, and descriptive logging for errors

* Familiar, intuitive GUI (Eclipse plug-in) coming from a Java development background. * In-depth, descriptive, and well-laid-out documentation. * Responsive support through forums, even directly from Clover staff. * Wealth of pre-defined components. * All components are customizable. * Descriptive logging, especially for error messages. * Ease of install/light footprint.

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Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

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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."

"IBM Watson Catalog and data pipelines are the most valuable features of the solution."

"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."

"The most valuable features are data virtualization and reporting."

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."

"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."

"Its data preparation capabilities are highly valuable."

"Cloud Pak is a very, very, very good system."

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

More IBM Cloud Pak for Data 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."

"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."

"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."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

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

"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."

"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."

"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."

"The solution could have more connectors."

"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

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

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

"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."

"It's quite expensive."

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

"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 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

No data available

Financial Services Firm

27%

Computer Software Company

11%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

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

The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem.

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What needs improvement with IBM Cloud Pak for Data?

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Comparisons

No data available

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 41% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 17% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 12% of the time

Denodo vs IBM Cloud Pak for Data

Compared 11% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 8% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Data Integration

May 2025

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Buyer's Guide

IBM Cloud Pak for Data

April 2025

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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

April 2025

Free Report: CloverETL vs. IBM Cloud Pak for Data

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