IBM Cloud Pak for Data vs WhereScape RED comparison

IBM and WhereScape are both solutions in the Data Integration category. IBM is ranked #16 with an average rating of 8.2, while WhereScape is ranked #48. IBM holds a 1.8% mindshare in DI, compared to WhereScape’s 1.1% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 95% of WhereScape users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,778 Views
1,932 Comparison Views

86% willing to recommend

WhereScape RED

Read 15 WhereScape RED reviews

1,533 Views
1,040 Comparison Views

95% willing to recommend

IBM Cloud Pak for Data

WhereScape RED

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

WhereScape RED and IBM Cloud Pak for Data are competitors in the data management and analytics category. IBM Cloud Pak for Data appears to have the upper hand with its comprehensive data management capabilities and integration with AI tools.

Features: WhereScape RED automates ETL processes using a metadata-driven approach, providing rapid development and comprehensive documentation. It also supports agile development. IBM Cloud Pak for Data focuses on data virtualization, model development, and AI tool integration like Watson Studio. It offers extensive capabilities for data governance and supports containerization.

Room for Improvement: WhereScape RED could improve by addressing performance issues related to architectural constraints, enhancing storage utilization, and supporting change data capture. Improvements in user experience, cloud platform integration, and installation simplification are needed for IBM Cloud Pak for Data. Expanded connector options and enhanced data curation features are also desired.

Ease of Deployment and Customer Service: WhereScape RED users appreciate personalized customer service and technical support, primarily for its on-premises deployment. Meanwhile, IBM Cloud Pak for Data allows flexible deployment across hybrid and public cloud environments, with highly rated customer service and thorough technical support despite initial resource challenges.

Pricing and ROI: WhereScape RED's simple developer seat licensing model is cost-effective, leading to rapid ROI and notable cost savings. In contrast, IBM Cloud Pak for Data's higher and complex subscription pricing poses accessibility challenges for smaller companies, although users find it justified by the wide range of data management and AI capabilities offered.

To learn more, read our detailed IBM Cloud Pak for Data vs. WhereScape RED Report (Updated: April 2025).

Buyer's Guide

IBM Cloud Pak for Data vs. WhereScape RED

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

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)

WhereScape RED

Ranking in Data Integration

48th

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.8%, up from 1.7% compared to the previous year. The mindshare of WhereScape RED is 1.1%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

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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it_user584544

Manager Data Warehousing at a university with 10,001+ employees

The architecture is based on metadata and documentation is automated.

I would love to see a GUI interface for defining dependencies between build processes. RED provides a spreadsheet like interface for defining the dependencies between builds. Once the dependencies are defined, RED can produce a nice dependency diagram to give a visualization of the dependency tree. It would be easier to define complex dependency relationships if the dependency diagram were interactive. Our legacy ETL tool provided this GUI dependency definition via a drag and drop diagram which was very useful. The solution provided by WhereScape does work, and the dependency diagrams generated are helpful. It would just be nice to have the ability to define dependencies via a diagram, since dependencies relationships are much easier to understand via a diagram.

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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

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

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

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

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

"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."

"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."

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

"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."

More IBM Cloud Pak for Data pros

"Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied."

"I found the initial setup very easy."

"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."

"Support is absolutely excellent, efficient, and timely."

"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."

"Naturally produces a way to easily debug your DW data solutions."

"It has a built-in automatic scheduling environment."

"I like the data vault implementations."

More WhereScape RED pros

Cons

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

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

"The technical support could be a little better."

"The product must improve its performance."

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

"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 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."

More IBM Cloud Pak for Data cons

"The solution can be a little more user-friendly on enterprise-level where people use it."

"Project-based searching of data objects in the data warehouse browser needs to be improved."

"Improve the object renaming ability (it works, but it could be more automated)."

"Technical support isn't the best."

"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application."

"The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."

"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."

"Customization could be better."

More WhereScape RED cons

Pricing and Cost Advice

"The solution is expensive."

"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."

"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."

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

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

"It's quite expensive."

"Our company purchased a corporate unlimited license."

"Speed to market of a warehouse solution at a relatively inexpensive price point."

"ROI is at least 10 times."

"Factor in the price of specialized consulting who know this product. They're hard to find and expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

11%

Manufacturing Company

10%

Government

Financial Services Firm

17%

Computer Software Company

10%

Insurance Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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?

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Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 40% 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

Informatica PowerCenter vs WhereScape RED

Compared 16% of the time

Azure Data Factory vs WhereScape RED

Compared 14% of the time

SSIS vs WhereScape RED

Compared 11% of the time

erwin Data Catalog by Quest vs WhereScape RED

Compared 9% of the time

dbt vs WhereScape RED

Compared 9% of the time

More WhereScape RED Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

April 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

WhereScape RED

April 2025

Download WhereScape RED product report

Also Known As

Cloud Pak for Data

No data available

Overview

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

WhereScape is data warehouse software that automates the Data Warehouse lifecycle. From implementation to maintenance, WhereScape will ensure your data warehouse projects are completed up to 5x faster than manual coding.

WhereScape

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.

Buyer's Guide

IBM Cloud Pak for Data vs. WhereScape RED

April 2025

Free Report: IBM Cloud Pak for Data vs. WhereScape RED

Find out what your peers are saying about IBM Cloud Pak for Data vs. WhereScape RED and other solutions. Updated: April 2025.

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