COZYROC vs. SAP Data Intelligence

[COZYROC] is a powerful tool and [extends] what you are able to do when it comes to ETL. It allows you to accomplish a lot of things that are very common now, but very difficult to implement with the out of the box functionality of SSIS.

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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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• Dynamic SOQL is very advantageous with Salesforce source task.
• Connecting to SharePoint is simple and seamless.
• Script Component Plus is also a very good task that we can do a lot through, that what we can't do with Script Task.

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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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• Smaller set of useful transform tasks than some competitors
• Upgrade process could be smoother (though similar to others in this space)

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• 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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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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Easy to use and easy to implement into ETL solutions with Microsoft SQL Server Integration Services.

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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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Their support is fast and responsive. Their devs work on resolving the issues quickly. We usually will have a release of a fix within a few days.

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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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We tested several other SSIS add-on packages as well. Only a few had DB2 support. And from those few COZYROC's support was the most responsive and helpful. They practically added the functionality we needed if it was not already there.

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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 is my belie that I have thrown away $3.7k

• 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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