IBM DataPower Gateway vs. SAP Data Intelligence

WebSphere DataPower Gateway is really beneficial if you are trying to integrate two or more systems. It provides you with comfort and peace of mind by creating a DMZ zone for the services which are going out of the intranet to hit external clients APIs. It is greatly recommended if you have a very high volume service or API which is being used by a majority of clients because it has a dedicated physical box present which takes care of memory, CPU and all such stuff. So, all your transactions happen at wire-speed.

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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.

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• The most obvious thing that DataPower does exceptionally well is security. All the built-in supported security capabilities allow us to isolate most security tasks to DataPower and as a result "protect" down steam services/systems to have to deal with security.
• DataPower is very good at protocol conversion and as it is usually used on the edge allows you to narrow down the protocols used between the companies public and private networks.
• The appliance concept makes maintenance, recovery and, management so much simpler.

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• 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.

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• API security
• WAF improvements
• Security improvements
• REST support
• Kafka support and event streaming

• 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.

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Cost of the appliance

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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

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In terms of usability, it has many advantages over other competitors in terms of integration, as it allows for the optimized creation of integration flows in a very quick and intuitive way from browsers, allowing for granular export and import of work, guaranteeing compatibility between different versions of the product.

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.

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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,

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In his brand DataPower has not competitors, in security, transform and data validations DataPower is better than other products.

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.

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• It has really taken our business to the next level. We have expanded and integrated with so many new vendors and for all those integrations DataPower is serving as our security gateway.
• We don't have to depend on any other tool for doing the load balancing of the incoming requests as that is also taken care inside the WebSphere DataPower Gateway box itself, thereby distributing the load equally.
• It has made our platform much more secure, uniform and robust to deal with any kind of incoming message format or threat as well due to its latest security mechanisms and huge processing power.

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• 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.

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