SAP Data Intelligence vs. SAP Integration Suite

If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.

Incentivized

In our case to have a such a poweful middleware in the cloud, give us a lot of benefits such as maintenance and support. In the integration part to be able to connect SAP and Non SAP applications makes SAP Integration Suite a good investment when our master data in this case is in S4HANA. Less appropriate is that sometimes the updates in production tenant failed and they have to downgrade or repair the issues. Affecting the usage of the tool. I guess SAP team have to be more aware of performing the changes and tested well on development environments and then when they know for sure that is the correct way to go with the update put it in production.

Incentivized

• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

Incentivized

• Enhanced API management features that allow now the integration with a multitude of data feeds and rating agencies
• Immediate evaluation of potential issues and configurable thresholds and automatic notifications.
• The application will monitor all aspects of compliance and update them automatically for several jurisdictions at time

• Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.

Incentivized

• Provide more pre-built integrations to use within SuccessFactors or other modules instead of everything having to be custom built
• Support is unable to provide advice on custom builds so you often have to engage a 3rd party partner
• Works best when you have the functional and technical teams working together. Otherwise, the system is too technical for a functional user to create integration and a technical user not always understand the functional perspective

Incentivized

Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

Incentivized

It is in place, our system integrators are familiar with it, and it fits into the ecosystem. A better user interface, flow build and debugging experience would see it grow, many technical staff do not enjoy using it for this reason, however it is quite capable and powerful behind this one shortcoming.

Incentivized

I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.

Incentivized

The user interface is messy and not intuitive. It has a steep learning curve, and flows developed around are easy to make a mess with layout and can be difficult to follow. The debugging is also quite difficult, it takes some time to figure out how to follow the flow and examine data. Error handling is also difficult and not intuitive, it is better to let some errors leak and monitor through ALM.

Incentivized

Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

Incentivized

Support is hard to reach and takes a long time to get a response.

Incentivized

Work with an SAP implementation partner, if possible.

Incentivized

One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.

Incentivized

SAP Integration Suite was already part of our SAP stack, part of Business Technology Platform, with out-of-the-box integration with S/4 HANA transactional and ERP system that we are using as our main back-end. Thus, we are achieving significant Total Cost Optimization benefits or running both solutions on the same platform, hosted on Azure cloud.

Incentivized

• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

Incentivized

• In the long run will enable us to undeploy our on premise solution
• As long as integration suite doesn't support all capabilities PO has complete migration is hard
• Will probably be cheaper than our on premise solution when we are completely migrated

Incentivized