SAP Data Intelligence vs. Varonis Data Security Platform

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 highlighted feature of Varonis Data Security Platform is the data analyzing mechanism. It analyzes your data all the time with some special algorithms to detect any unusual activities so that it can identify any unusual behavior or users and
take necessary action to save your sensitive data. They also offer a complete dashboard solution for their customers to control across different data stores, see their current state, and any security breaches to be addressed manually.

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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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• Varonis logging is very robust and captures all audit events being sent from the file servers.
• The ability to report and alert on Active Directory account events works very well with file activity monitoring. It can show the complete picture of what an account did while being used.
• Have a customizable dashboard is great for being able to show upper management information that only pertains to them.

• 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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• Implementation can be challenging in some areas and can only be executed by the vendor
• Implementation can only be executed by the vendor and additional work can be chargeable
• Licensing can be improved upon
• Agent based so implementation can be longer than expected

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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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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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Because the tool delivers on its promises and forces us to explore each functionality. Using the tool leads us to seek more knowledge and apply it to our environment, mitigating risks, reducing the attack surface, increasing the team's technical knowledge, and boosting team growth. It also demonstrates to senior management that the tool is extremely necessary for the environment.

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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Support has always been very responsive and addressed any issues we may have had in the past. Some local engineers are willing to come onsite or work over a web session to discuss creating a new rule set or look at some issues. Getting issues address has never been a problem. There was one feature we had trouble getting to function correctly, but support and local engineers were willing to work with us as much as needed to get it working correctly for our organization.

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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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Actually, we didn't expend much time evaluating other file auditing platforms. We chose Varonis just after a serious incident and we had already heard about Varonis at a Netapp event. So it was an easy choice. We called Varonis and asked them for a PoC, that's it. The PoC became a production and it is running until this day.

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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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• We have identified data classifications issues that our organization was not aware of prior to the implementation.
• The tool does take a dedicated resource for it to be effective.
• Varonis has improved the speed with which we can fulfill audit requests, leaving us more time for other tasks.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info