

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.
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
The customer support for IBM Cloud Pak for Data is great and responsive.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Customer support should be more responsive and reach and respond on time.
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
The setup cost is very expensive.
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 affordable.
The list price is high, but the flexibility in pricing is adequate.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
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.
| Product | Mindshare (%) |
|---|---|
| IBM Cloud Pak for Data | 1.3% |
| WhereScape RED | 1.1% |
| Other | 97.6% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
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.
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.
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