ETL Solutions Transformation Manager vs IBM Cloud Pak for Data comparison

ETL Solutions and IBM are both solutions in the Data Integration category. ETL Solutions is ranked #55, while IBM is ranked #23 with an average rating of 8.0. ETL Solutions holds a 0.9% mindshare in DI, compared to IBM’s 1.3% mindshare. Additionally, 100% of ETL Solutions users are willing to recommend the solution, compared to 89% of IBM users who would recommend it.

ETL Solutions Transformatio...

Read 3 ETL Solutions Transformation Manager reviews

1,276 Views
842 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Read 15 IBM Cloud Pak for Data reviews

2,319 Views
2,180 Comparison Views

89% willing to recommend

ETL Solutions Transformatio...

IBM Cloud Pak for Data

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

ETL Solutions Transformation Manager and IBM Cloud Pak for Data are competitors in data integration and management. IBM Cloud Pak for Data tends to have the upper hand due to its robust features and advanced analytics.

Features: ETL Solutions Transformation Manager offers customizable transformation capabilities, agile ETL processes, and efficient data handling. IBM Cloud Pak for Data provides comprehensive tools with AI and machine learning, advanced analytics, and exhaustive data management, prioritizing cutting-edge analytics.

Ease of Deployment and Customer Service: IBM Cloud Pak for Data supports containerized and scalable deployment, offering flexibility and extensive customer service with responsive support channels. ETL Solutions Transformation Manager has straightforward deployment but requires more manual configuration and offers traditional support.

Pricing and ROI: ETL Solutions Transformation Manager is cost-effective with competitive pricing and quick ROI due to lower setup costs. IBM Cloud Pak for Data requires a higher initial investment justified by its extended capabilities, suitable for long-term strategic benefits despite heavier upfront expenses.

To learn more, read our detailed ETL Solutions Transformation Manager vs. IBM Cloud Pak for Data Report (Updated: February 2026).

Buyer's Guide

ETL Solutions Transformation Manager vs. IBM Cloud Pak for Data

February 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

ETL Solutions Transformatio...

Ranking in Data Integration

55th

Average Rating

9.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Cloud Pak for Data

Ranking in Data Integration

23rd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of ETL Solutions Transformation Manager is 0.9%, up from 0.2% 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 Market Share Distribution
Product	Market Share (%)
IBM Cloud Pak for Data	1.3%
ETL Solutions Transformation Manager	0.9%
Other	97.8%

Data Integration

Featured Reviews

Ravi Kuppusamy

CEO and Founder at BAssure Solutions

It lets us create models so we can generate real-time predictions and insights for a our clients

Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing. I would like it if we could set the solution up to process and respond to real-time events. For example, say I want to configure an app to run based on the mileage a car has driven, and I configure the metering system, so the event occurs every 15 days. Let's say we want to automatically send an alert to EMS, police, etc. if a car gets into an accident. Transformation Manager is more of a conventional tool for reporting, extracting volume, bulk loading, etc. but there should be more provisions for dealing with real-time events, creating some insights, and dealing with perishable data. Ten minutes after the accident, the data doesn't have value. It has value before you saved the person.

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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.

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

"It is among the best, even if not widely known."

"Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We generate models and then give them to the clients, so they can come up with real-time predictions and recommendations in addition to reporting."

"It is a reliable solution."

"I would advise others looking into using IBM Cloud Pak for Data that it is a very great tool that is an all-in-one, real-time data analytics solution that provides a phenomenal user experience."

"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."

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

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

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

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

"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."

"IBM Cognos is very stable and has been around for many years, with many users familiar with it, making it a reliable solution for our institution."

More IBM Cloud Pak for Data pros

Cons

"They should build a functional architecture based on queuing."

"Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing."

"There is room for improvement in the solution's visualization tool."

"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 two main challenges that I face are setup complexity and customer support responsiveness."

"The solution could have more connectors."

"The product must improve its performance."

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"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."

"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."

"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."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

"It is an expensive solution."

"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."

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

"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."

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

"It's quite expensive."

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

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Retailer

12%

Outsourcing Company

10%

Performing Arts

10%

Financial Services Firm

26%

Manufacturing Company

Computer Software Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	12

Questions from the Community

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

Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively afforda...

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What needs improvement with IBM Cloud Pak for Data?

Setting up the hybrid and multi-cloud environments is a long job and it takes time. Additionally, the customer support should be more responsive and reach and respond on time. The two main challeng...

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

IBM Cloud Pak for Data is a powerful cloud-native, all-in-one, easy-to-use solution that enables us to put data to work quickly and effectively. This tool enables us to approach analytics our way w...

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Comparisons

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Compared 9% of the time

Axway AMPLIFY Application Integration vs ETL Solutions Transformation Manager

Compared 8% of the time

ILANTUS Compact Identity vs ETL Solutions Transformation Manager

Compared 6% of the time

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IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 31% of the time

Denodo vs IBM Cloud Pak for Data

Compared 10% of the time

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

Compared 8% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 6% of the time

IBM InfoSphere Information Server vs IBM Cloud Pak for Data

Compared 3% of the time

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Product Reports

Buyer's Guide

Data Integration

January 2026

ETL Solutions Transformation Manager report

Download ETL Solutions Transformation Manager product report

Buyer's Guide

IBM Cloud Pak for Data

February 2026

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Also Known As

Transformation Manager

Cloud Pak for Data

Overview

Transformation Manager is an integrated development toolkit that is used to build data migration and data integration solutions more efficiently. A metadata-driven code generator, Transformation Manager provides users with the ability to generate lightweight, easy-to-deploy code. It combines a Graphical User Interface with a statement-driven mapping language. The Transformation Manager software derives metadata from the elements, attributes and relationships in a source and target model. Transformation Manager then uses rules specified by Simple Mapping Language (SML), which is specifically designed for implementing data transformation projects, to generate code written in Java.

ETL Solutions

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

Honda, BNP Paribas, RBS, JPMorgan, Volkswagen, Thorn Lighting, OpenSpirit, Rolls-Royce, Ulster Bank

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Buyer's Guide

ETL Solutions Transformation Manager vs. IBM Cloud Pak for Data

February 2026

Free Report: ETL Solutions Transformation Manager vs. IBM Cloud Pak for Data

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