

SAP Data Services and IBM Cloud Pak for Data compete in the data management and analytics category. IBM Cloud Pak for Data may have the upper hand in analytics due to its emphasis on AI and machine learning capabilities.
Features: SAP Data Services offers seamless integration with SAP systems, robust ETL capabilities, and extensive data source connectivity. It is known for its user-friendly features and SQL-based flexibility. IBM Cloud Pak for Data provides strong data analytics, integration capabilities, and enhances data science projects with features like data visualization and the Watson Studio.
Room for Improvement: SAP Data Services needs to improve dynamic scheduling, connectivity with non-SAP systems, and its documentation. Challenges are noted in handling frequent updates and integration with modern data formats. IBM Cloud Pak for Data could enhance integration with external systems and improve processing speeds.
Ease of Deployment and Customer Service: SAP Data Services is typically deployed on-premises with variable technical support quality, often requiring escalations. IBM Cloud Pak for Data offers cloud flexibility, though its setup can be complex. Both have potential for improving response times in technical support.
Pricing and ROI: SAP Data Services is expensive, targeting medium to large enterprises, and provides strong ROI through data management efficiency. IBM Cloud Pak for Data is also highly priced, targets larger organizations with project-based pricing, and offers enterprise-level ROI through efficiency and advanced capabilities, though small companies may find it costly.
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.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
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.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
The level three support is better because they know what they are doing.
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.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
I would rate the stability of SAP Data Services as very stable, a ten.
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.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
SAP Data Services does handle integration with third-party systems.
The documentation is not up to the mark.
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.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
It remains a fast data-moving tool, faster than most new ones.
| Product | Mindshare (%) |
|---|---|
| SAP Data Services | 1.5% |
| IBM Cloud Pak for Data | 1.1% |
| Other | 97.4% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
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 Data Services is a comprehensive data integration and management tool known for its robust ETL functionality and seamless data quality management across SAP and non-SAP systems, providing flexibility and effective data handling.
SAP Data Services offers extensive integration capabilities with a range of systems, enabling efficient data migration, warehousing, and quality assurance. Despite challenges in connectivity, SQL optimization, and handling big data, it remains a top choice for data extraction and transformation. Its user-friendly interface and customization options enhance ease of use. The tool is recognized for scalability, performance, customer satisfaction, and supporting complex data transformations for improved analytics.
What are the key features of SAP Data Services?SAP Data Services is widely implemented across industries like banking, telecom, and manufacturing. Companies leverage it to integrate multiple data sources and manage migrations from legacy to modern platforms such as cloud environments and HANA architecture. It supports complex transformations essential for financial, operational, and business intelligence reporting, enhancing insights and decision-making.
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