

SAP HANA and IBM Cloud Pak for Data are active competitors in the enterprise data management market. SAP HANA leads in speed and real-time analytics due to its in-memory processing capabilities, making it more suitable for enterprises seeking enhanced data retrieval and process efficiency, although its high costs can be a drawback for smaller businesses.
Features: SAP HANA offers comprehensive data integration, supports large-scale data processing, and enhances business processes through in-memory computing. It enables automation and supports real-time analytics for swift data access. IBM Cloud Pak for Data is known for its seamless integration with AI tools, offers a flexible data environment, and facilitates efficient multi-type data processing.
Room for Improvement: SAP HANA faces challenges with cost and complexity, needing better integration capabilities, enhanced automation, and user-friendly updates to boost adoption. IBM Cloud Pak for Data could improve its deployment processes, streamline installations, and broaden connector options while enhancing performance and reducing transition complexities between on-premise and cloud setups to better accommodate smaller enterprises.
Ease of Deployment and Customer Service: SAP HANA has a reputation for powerful performance but can be resource-intensive and complex to deploy, especially in on-premises settings. It generally receives high marks for customer service and technical support, though some users encounter delays. IBM Cloud Pak for Data benefits from robust support, usually deployed in public and hybrid cloud settings, though user experience could be improved with simpler installations and enhanced third-party solution integration. Users often find IBM's support helpful despite resolution challenges.
Pricing and ROI: SAP HANA is appreciated for its fast and reliable data processing, offering significant efficiency and time savings despite its high cost. Its ROI is recognized in terms of operational efficiency gains. IBM Cloud Pak for Data is a cost-effective option, especially in comparison to direct competitors, though still considered expensive for smaller organizations. Its functionality is praised, but the total cost of ownership requires careful consideration of substantial initial and recurrent expenses.
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.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
I have seen a return on investment with SAP HANA as it typically delivers measurable ROI, especially in finance and month-end close processes.
SAP HANA is a cost-saving solution that helps save money and serves as a time-saving solution that helps save time.
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.
The response time for IBM's technical support is excellent.
The community support is better than the official SAP support.
While issues are resolved eventually, the first level of support is not as good as we would like.
When we raise a ticket for AWS or Azure issues, we find their support is very proactive, while SAP's support is quite passive.
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 HANA handles large data volumes efficiently, allowing for adding more modules or users without performance issues.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
It depends on what needs to change in the structure, as some entities cannot be changed and require a new implementation, while others can be modified.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
We recently faced customer data loss during the cluster handover or failover fallback.
We have not had any problems in the last seven to eight years.
Regarding stability, they are using legacy systems and have implemented SAP HANA.
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 main issue is the ecosystem, which lacks the widespread support that SQL enjoys.
The setup process and deployment process for SAP HANA is complex.
Licensing costs with SAP HANA are very high.
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.
It's a recurring subscription model, which is expensive compared to legacy systems with just a maintenance fee.
SAP is not a cheap company, and its licenses are expensive.
I would rate the price for SAP HANA as high.
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.
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
The concept enhances speed, allowing the database to serve and move data quickly.
One of our dashboards using Excelsius was previously developed on normal BW on Oracle data, which took 10 minutes to open. After developing the same calculation views using those tables and replacing them with calculation views in Excelsius, the dashboard opened in seconds.
| Product | Mindshare (%) |
|---|---|
| SAP HANA | 13.4% |
| IBM Cloud Pak for Data | 11.3% |
| Other | 75.3% |

| Company Size | Count |
|---|---|
| Small Business | 9 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 62 |
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.
SAP HANA is a high-speed in-memory data platform providing real-time analytics and quick data retrieval while supporting enterprise scalability and integration.
Designed for efficient data processing, SAP HANA offers robust security, ease of use, and advanced analytics through an architecture that ensures flexibility and stability. This allows seamless integration with third-party systems, significantly improving data management and decision-making capabilities. Enterprises benefit from data modeling, compression, comprehensive dashboards, and real-time insights. However, users have noted high costs, speed, and scalability issues, as well as complexity in interface and customizations. There's also a need for better integration with third-party tools, clearer documentation, and enhanced connectivity with Java and other platforms.
What are the key features of SAP HANA?SAP HANA is deployed for enterprise resource planning across industries, notably in finance, HR, and sales. It supports real-time analytics, business intelligence, and integrates with SAP ERP and S/4HANA, offering tailored solutions for sectors like supply chain management, CRM, procurement, and financial analysis.
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