

WhereScape RED and IBM Cloud Pak for Data compete in the data management and analytics category. WhereScape RED appears to have the upper hand in automation and ease of use, while IBM Cloud Pak for Data is stronger in data analytics and AI integration.
Features: WhereScape RED is efficient in automation, code generation, and metadata management, allowing rapid ELT development. Users find its automated documentation and agile methodology integration valuable. IBM Cloud Pak for Data offers robust data management, AI, data visualization, and hybrid cloud compatibility, providing extensive integration and model-building capabilities.
Room for Improvement: WhereScape RED needs enhancements in performance, database reliance, and support for multiple databases. Users seek better task orchestration and metadata sharing. IBM Cloud Pak for Data requires improvements in user interface design, process simplification, integration capabilities, and cost reduction. Users also want smoother cloud transitions and more mature data governance tools.
Ease of Deployment and Customer Service: WhereScape RED is flexible with on-premises and hybrid setups and is noted for excellent customer service and knowledgeable support. IBM Cloud Pak for Data offers hybrid and public cloud options but experiences varying customer service quality post-purchase.
Pricing and ROI: WhereScape RED's developer seat licensing model is cost-effective, avoiding vendor lock-in, and offers quick ROI with savings in development time. IBM Cloud Pak for Data is considered expensive, with costs sometimes prohibitive for smaller companies but competitive within larger enterprises, with project-specific discounts available.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
I rate the technical support from IBM a nine out of ten because the support has been very top-notch, unparalleled, and also very professional.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
The customer support for IBM Cloud Pak for Data is great and responsive.
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's scalability is very good; it can be used by any size of organization.
For scalability, I rate it a nine out of ten because it is a very scalable solution that has been able to handle my organization's growth efficiently.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
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.
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.
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.
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 | 1.1% |
| WhereScape RED | 1.3% |
| Other | 97.6% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
IBM Cloud Pak for Data is a comprehensive platform integrating data management, AI, and machine learning capabilities tailored for hybrid environments. It's renowned for enhancing productivity through efficient data analytics and management.
This platform offers data virtualization, robust analytics, and AI-driven processes. Its integration capabilities, including IBM MQ and App Connect, facilitate seamless data connections. Users benefit from containerization, data governance, and compatibility with hybrid systems, improving decision-making and management productivity. However, the requirement of extensive infrastructure and performance challenges can impact scalability for small businesses.
What are the key features of IBM Cloud Pak for Data?In the financial and banking sectors, IBM Cloud Pak for Data is utilized for data management tasks like spend analytics and contract leakage analysis. It's used for data integration, machine learning, and AI-driven analytics to transform data into valuable insights in industries such as FinTech and consultancy.
WhereScape RED streamlines data warehousing processes through automation, empowering organizations with agile code generation and easy management of data integration and documentation.
WhereScape RED provides automated documentation, agile code generation, and a metadata-driven framework, making it ideal for enterprise data warehousing. It integrates well with methodologies like Data Vault and Kimball, offering data lineage, impact analysis, and ELT capabilities. With diverse data environment support such as Teradata, Oracle, and SQL Server, it simplifies staging, transforming, and loading processes. Though some users suggest improvements in performance and multi-database support, RED stands out with its automation that enhances code readability and reduces manual tasks.
What are the most valuable features of WhereScape RED?WhereScape RED is often implemented in industries needing robust data integration solutions. It is utilized for business reporting within sectors relying on SQL Server for their ETL processes. Its drag-and-drop functionality and support for heterogeneous data sources make it a versatile tool for managing complex data environments.
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