

IBM Cloud Pak for Data and SAP Business Data Cloud compete in the data management and analytics domain. IBM Cloud Pak for Data has an edge due to pricing flexibility and support, while SAP Business Data Cloud offers robust features that justify its cost.
Features: IBM Cloud Pak for Data offers strong integration through an extensive catalog, AI-driven data management, and scalability. SAP Business Data Cloud provides advanced analytics capabilities, streamlined data processing, and robust security features, with an emphasis on comprehensive analytics.
Ease of Deployment and Customer Service: IBM Cloud Pak for Data emphasizes a flexible cloud-native architecture compatible with multi-cloud environments, focusing on seamless integration. SAP Business Data Cloud features guided deployment processes and extensive customer support services.
Pricing and ROI: IBM Cloud Pak for Data is known for cost-effective setup and a strong return on investment due to scalable and customizable solutions. SAP Business Data Cloud may require higher setup costs but offers significant ROI through its advanced capabilities.
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.
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 would rate IBM's support at about a seven or eight out of ten because we have good support coverage owing to our long association with IBM.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
I am satisfied with SAP's technical support team; they provide very good support.
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.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
I would rate its scalability up to nine on a scale of one to ten.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
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.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Documentation-wise, we see some gaps when trying to connect different solutions.
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.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 13 |
| Large Enterprise | 39 |
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.
SAP Business Data Cloud is a robust platform designed to streamline data integration and management across enterprises. It provides efficient solutions to harness and analyze data for enhanced decision-making and operational effectiveness.
SAP Business Data Cloud offers businesses a comprehensive approach to manage data traffic, ensuring seamless integration and accessibility. By leveraging cloud capabilities, it enhances data usability and supports strategic business processes. This is particularly advantageous in a rapidly evolving technological landscape where agility and adaptation are key to competitiveness.
What are the most important features of SAP Business Data Cloud?SAP Business Data Cloud finds application across multiple industries such as finance, where it aids in risk management and regulatory compliance. In retail, it enhances supply chain efficiencies, while in manufacturing, it supports production optimization. The adaptability of SAP Business Data Cloud makes it valuable across sectors.
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