

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.
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.
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.
Customer support should be more responsive and reach and respond on time.
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.
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.
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.
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.
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
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.
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 | Market Share (%) |
|---|---|
| SAP HANA | 9.5% |
| IBM Cloud Pak for Data | 12.8% |
| Other | 77.7% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 62 |
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 HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.
The column-oriented in-memory database design allows users to run high-speed transactions alongside advanced analytics, all in a single system. This provides companies with the ability to process very large amounts of data with low latency and query data in an instant. By combining multiple data management capabilities, the solution simplifies IT, helps businesses with innovations, and facilitates digital transformation.
The solution is structured into five groups of capabilities, categorized as:
There are three more SAP products that work alongside SAP HANA and complete the experience for users together. SAP S/4HANA Cloud is a ready-to-run cloud enterprise resource planning (ERP). SAP BW/4HANA is a packaged data warehouse, based on SAP HANA, which allows users to consolidate data across the enterprise to get a consistent view of their data. Finally, SAP Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. All three products can combine with SAP HANA to deliver to users an optimized experience regarding their data.
SAP HANA Features
Each architectural group of capabilities of SAP HANA has various features that users can benefit from. These include:
SAP HANA Benefits
SAP HANA provides many benefits for its users. These include:
Reviews from Real Users
According to a database consultant at a pharma/biotech company, SAP HANA is a very robust solution with good data access.
Bruno V., owner at LAVORO AUTOM INF E COM LTDA, likes SAP HANA because the product offers advanced features, helps reduce hours, and makes it easy to find what you need.
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