

SAP Data Services and IBM Cloud Pak for Data compete in the data integration and management category. IBM Cloud Pak for Data has an edge with its cloud-native capabilities, making it more versatile in diverse IT landscapes, while SAP Data Services is beneficial for SAP-centric environments due to its robust integration.
Features: SAP Data Services is strong in data migration and integration with features such as Data Quality Transforms that simplify ETL processes. It provides excellent synergy with SAP ecosystems. IBM Cloud Pak for Data offers Watson Studio for AI-driven solutions and extensive data virtualization, supporting diverse IT environments and advanced data governance.
Room for Improvement: SAP Data Services needs better support for web service integrations and enhanced error logging. Improving its integration with non-SAP systems and scheduling features is essential. IBM Cloud Pak for Data should streamline its setup process and improve integration with other cloud services. Enhancing AI lifecycle management and connector integration would broaden its application.
Ease of Deployment and Customer Service: SAP Data Services is suitable for on-premises and hybrid deployments, while IBM Cloud Pak for Data supports both hybrid and public cloud environments. Customer service for both products is rated similarly, with a need for faster response times, particularly for IBM Cloud Pak's cloud-related support.
Pricing and ROI: SAP Data Services is perceived as more expensive, particularly for smaller businesses, but it offers significant ROI with rapid deployment and improved data quality. IBM Cloud Pak for Data, while also expensive, offers competitive pricing for its features, delivering good ROI for large enterprises with strategic implementations.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
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.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Customer support should be more responsive and reach and respond on time.
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
Unlike level one where they basically search for the notes and provide responses, level two and level three are much better.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
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.
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.
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.
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.
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.
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.
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.
I really appreciate the many custom functions that exist and the ease of connecting to different SAP connections.
| Product | Market Share (%) |
|---|---|
| SAP Data Services | 1.5% |
| IBM Cloud Pak for Data | 1.3% |
| Other | 97.2% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 5 |
| Large Enterprise | 36 |
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 Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.
Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:
the product transforms data into a ready-to-use resource for business insights.
Some of the key components of SAP Data Services include:
Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.
SAP Data Services Features
The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:
SAP Data Services Benefits
This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:
Reviews from Real Users
According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.
An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.
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