LogRhythm NextGen SIEM Platform vs. SAP Analytics Cloud

Having mostly worked with their on-premises solution, I think it's well-suited for small , medium, and even big organisations. I feel it might be less suited if the customer wants a SIEM with 100% uptime, as it goes down a lot. Or if they want to depend on customer support. I suggest that if you want to go with LR, you have to have your own experienced engineers to work on.

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>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.

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• LogRhythm NextGen SIEM Platform has an alarm system that generates tickets based on the event and the way it has been configured in the LogRhythm console. Let's say we have a ticket for a malicious email attachment. The ticket will some information like the source of the log, the source IP, destination IP etc. It can be drilled down to obtain specific information like the recipient, source location, file attachment name, SHA hash of the file, source and destination port, time, mac address of the machine that downloaded it etc. This helps the analysts to go to the root of the cause and take actions easily without manually parsing them.
• The second good thing about the LogRhythm NextGen SIEM Platform is that it is very easy to use with its well-structured interface. To use LogRhythm, an user barely require any technical skills. A little overview of IP, CIDR, hash, etc. is enough to get your hands on it. It requires no programming or coding skills, as everything is GUI based. It also provides a beautiful visualization dashboard. There is another beautiful feature that it provides for the classification of events, known as cases. Multiple users working on the same platform can create cases and add events to it. They also help to maintain future reference.
• The third good feature is the search tool which is very powerful. For example, sometimes it is hard to find the users who downloaded a malware from the guest wireless of the institution and not the private network. The search tool helps us in searching the user by automatically correlating the MAC address from the current network logs and the previous logs as the MAC address is the same. It is highly scalable for parsing a large number of logs from various sources.
• I particularly think this is one of the best software available for log parsing in an organization where non-technical users are working on incident response. This tool has a good amount of flexibility. However, it can only be configured with the LogRhythm NextGen SIEM Platform Console.
• In terms of usability, as already mentioned, it is a very easy tool to use, with a GUI based interface.

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• It makes it easier yo analyse order and related records easily.
• We can easily maintain and track the performance of employees in organisation.
• Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.

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• LogRhythm absolutely needs to provide back end support for threat intelligence lists. Performing a linear search on massive lists of IPs on incoming web traffic can bring the SIEM to its knees.
• LogRhythm should drop its entire code base for implementing lists and simply turn them into hash tables to avoid the excessive cost associated with referencing lists in rules. I haven't seen the code, but the performance suggests O(n).
• The reporting feature is the worst of all SIEMs, luckily reports are not my primary service offering. LogRhythm should definitely revamp its reporting to be more intuitive.

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• Complexity in Data Modeling
• SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
• An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.

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LogRhythm is focused on SIEM. That is their core business. Cost of operations, feature set and ease of use. The Log Rhythm support team is outstanding. Overall reliability is good. Reporting module needs some improvement and LR is promising that there will be significant improvements in future releases.

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We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.

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LogRhythm does a rather decent job of making the functionality advanced (allowing for advanced keyword & field searching, use of "AND" as well as "OR" statements in the search bar) while keeping it accessible (by not requiring a specific syntax to do quick searches). This combined with a user interface that has headings and labels that are intuitive is very helpful.

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I landed on a 7 out of 10 for a few key reasons. The tool is flexible in the sense that we are using very very very (very) little off the shelf solutions and customizing to our needs. Users enjoy having the customized data actions, key variance calculations, and easy to use headcount/salary planning in the same tool. One downside is that users are hard to please when they are used to excel. SAP Analytics Cloud simply is not excel, and the flexibility of excel in a crunch is not there.

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I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.

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I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But

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While LogRhythm support is generally quick to respond, the initial response is usually from a first line support engineer with general knowledge of the product. Any advanced or complex issues have always required the assistance of a higher tier of support, directly or indirectly. For a few occasions we actually used our PS hours to work on the issue.

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Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.

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Good videos and reference material available in SAP Portal.

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In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online

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• Buy professional services.
• Buy and implement the system if possible.
• Remember that the end point log configuration may require other teams in your company to assist you in getting the desired logs from all resources.
• Attend the end user and daily operations training after a period of usage so you are not overwhelmed with information on concepts not yet seen.
• Don't be afraid to call for help during your first months of use.
• Don't close any ticket until you are sure the expected results are verified.
• Use the community forums to discuss issues with your peers.
• Watch the training videos offered by L R University.

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SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights

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LogRhythm was simpler to set up and configure as well as extract information from. It also was less intrusive in terms of how many appliances were needed to implement. We were up and running within 5 hours to start accepting log sources. We selected LogRhythm as well since support is based in the USA in Colorado.

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SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning

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unit pricing

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Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.

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very simple

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• It gives the overall view of the environment so we are always aware of our security position.
• It has created operational effectiveness; we are able to rapidly detect threats and resolve it fast.
• We have been able to track inappropriate login attempts through tickets.

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• Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
• We now have more insight into the data, and people with little technical experience can easily build stories.

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