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 7.7. 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 88% of IBM users who would recommend it.

ETL Solutions Transformatio...

Read 3 ETL Solutions Transformation Manager reviews

1,131 Views
713 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Read 15 IBM Cloud Pak for Data reviews

2,163 Views
2,033 Comparison Views

88% 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: December 2025).

Buyer's Guide

ETL Solutions Transformation Manager vs. IBM Cloud Pak for Data

December 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

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 January 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 1.6% 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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Dymitry John

Operations Manager at IQVIA

Centralized data analysis has improved collaboration and delivers faster data driven decisions

The best features IBM Cloud Pak for Data offers include low-code or no-code options, which can be used by any technical expertise level. The user interface is very intuitive and easy to customize and navigate for any user, making the learning curve smooth. IBM Cloud Pak for Data is an all-in-one cloud-native data and AI platform that centralizes everything to one single platform, making it easy for viewing our data. It connected with our product for integration with the cloud and helped us enable all of our data users to collaborate from a single unified interface that supports many services designed to work together. I appreciate the low-code no-code feature for its visualization and reporting capabilities, which are very helpful in analyzing insights and making data-driven decisions. IBM Cloud Pak for Data has positively impacted my organization by saving a lot of time by predicting outcomes faster using a platform built with data fabric architecture. It has also enabled us to easily collect, organize, and analyze data, no matter where it is, thereby gaining insights we use to make data-driven decisions easily. It eliminates manual cataloging, which saves time and cost. When comparing it with our previous solution, we have been able to save approximately 70% of our time monthly. We have also been able to make data-driven and concrete decisions more easily compared to our previous solution. Our security has also been strengthened because IBM Cloud Pak for Data provides robust security features that protect our data.

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."

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

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

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

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

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

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

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

"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

"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."

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

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

"The technical support could be a little better."

"Pricing is something that could be reduced, especially for small business enterprises to afford IBM Cloud Pak for Data."

"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."

"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 solution's user experience is an area that has room for improvement."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

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

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'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."

"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."

"It's quite expensive."

"The solution is expensive."

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

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

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Retailer

12%

Performing Arts

10%

Financial Services Firm

10%

Financial Services Firm

27%

Manufacturing Company

10%

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	11

Questions from the Community

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

The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...

See all answers

What needs improvement with IBM Cloud Pak for Data?

I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.

See all answers

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

The main use case for IBM Cognos is for business intelligence and reporting.

See all answers

Comparisons

TIBCO Spotfire vs ETL Solutions Transformation Manager

Compared 15% of the time

SEEBURGER Business Integration Suite vs ETL Solutions Transformation Manager

Compared 12% of the time

Axway AMPLIFY Application Integration vs ETL Solutions Transformation Manager

Compared 9% of the time

Ignite ETI vs ETL Solutions Transformation Manager

Compared 9% of the time

Jitterbit Harmony vs ETL Solutions Transformation Manager

Compared 6% of the time

More ETL Solutions Transformation Manager Competitors

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 39% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% 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 7% of the time

SAS Data Management vs IBM Cloud Pak for Data

Compared 3% of the time

More IBM Cloud Pak for Data Competitors

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

January 2026

Download IBM Cloud Pak for Data product report

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

December 2025

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