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 #33 with an average rating of 9.0, while IBM is ranked #16 with an average rating of 8.2. ETL Solutions holds a 0.2% mindshare in DI, compared to IBM’s 1.8% mindshare. Additionally, 100% of ETL Solutions users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

ETL Solutions Transformatio...

Read 3 ETL Solutions Transformation Manager reviews

293 Views
252 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,778 Views
1,932 Comparison Views

86% willing to recommend

ETL Solutions Transformatio...

IBM Cloud Pak for Data

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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: April 2025).

Buyer's Guide

ETL Solutions Transformation Manager 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

ETL Solutions Transformatio...

Ranking in Data Integration

33rd

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

16th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of ETL Solutions Transformation Manager is 0.2%, up from 0.2% 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

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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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

"It is a reliable solution."

"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."

"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."

"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."

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

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

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

"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. That's an advantage of IBM Cloud Pak for Data."

"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."

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

More IBM Cloud Pak for Data pros

Cons

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

"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."

"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."

"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 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 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."

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

"The solution could have more connectors."

"The technical support could be a little better."

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."

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

"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."

"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."

"The solution is expensive."

"It's quite expensive."

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

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Top Industries

By visitors reading reviews

Computer Software Company

28%

Financial Services Firm

16%

Healthcare Company

Educational Organization

Financial Services Firm

27%

Computer Software Company

12%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about ETL Solutions Transformation Manager?

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

See all answers

What is your experience regarding pricing and costs for ETL Solutions Transformation Manager?

ETL Solutions Transformation Manager is much more affordable than other solutions like AWS, Blue, or Informatica. Even though some competitors may offer seemingly economical pricing, the resource c...

See all answers

What needs improvement with ETL Solutions Transformation Manager?

There is room for improvement in the solution's visualization tool. Currently, it provides basic reports and the ability to create graphs and dashboards, but I'm looking forward to more robust anal...

See all answers

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

DataStage allows me to connect to different data sources.

See all answers

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.

See all answers

What needs improvement with IBM Cloud Pak for Data?

See all answers

Comparisons

TIBCO Spotfire vs ETL Solutions Transformation Manager

Compared 43% of the time

Axway AMPLIFY Application Integration vs ETL Solutions Transformation Manager

Compared 33% of the time

Altair Monarch vs ETL Solutions Transformation Manager

Compared 24% of the time

More ETL Solutions Transformation Manager Competitors

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 42% of the time

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

Compared 18% 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

March 2025

ETL Solutions Transformation Manager report

Download ETL Solutions Transformation Manager product report

Buyer's Guide

IBM Cloud Pak for Data

April 2025

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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

April 2025

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

Find out what your peers are saying about ETL Solutions Transformation Manager vs. IBM Cloud Pak for Data and other solutions. Updated: April 2025.

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