Dataiku vs. LogicMonitor

Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.

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For environments that mostly use VMs and baremetal devices, LogicMonitor is a fantastic choice. It lends itself especially well to situations where you want individual teams to be able to manage the monitoring and observability of their own domains, and if you take the time to customize it to your environment in the frontend, you can get to the point where your LogicMonitor platform administrators are very rarely needed.

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• Allows users to collaborate and monitor individual tasks
• Caters to both types of analysts, coders and non-coders, alike
• Integrate graphs and plots with visualization tools such as Tableau

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• It shows us system issues right away so we can fix them fast.
• It finds new devices on its own, so we do not miss anything.
• It alerts us only when something really unusual happens.
• Its dashboards make it easy for everyone to see system health.
• It helps us see trends so we are ready for busy times.

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• The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
• When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
• Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.

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• Segmentation at an instance level not just the resource when clients are sharing the same device but shouldn't see each other's relevant data
• ARM CPU support for collectors to allow for a lighter weight appliance deployment
• WMI collection with a Linux collector so a windows collector would not be needed or a virtual appliance template that can be used to deploy collectors

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This product has met virtually all of our needs. It was easy to implement and has been simple to support. Customization has been intuitive with many options available. They keep adding features and expanding available options. The future of LogicMonitor looks even better than it is today which is very promising. The management and support teams at LogicMonitor are always helpful

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The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level

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Set up is super easy. Just stand up a small Linux or Windows server to act as a collector. There are no agents to install on monitored devices and all you need is SNMP or WMI access. When creating dashboards, all you have to do is find the widget on the device you want to show up and choose the menu option to add it.

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The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.

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The sales team support we received was top notch. They worked hand in hand to make sure the product met all expectations. So far we have not really had to work with support that much; we have worked with setup team after purchase to deploy product fully. No issues so far and we are four weeks in.

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Add good training

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The training is good but room to improve

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The implementation experience was awesome for me, as the LogicMonitor team was really helpful to us. They installed everything on our primary server and provided clear, intelligible explanations. They even trained our non-tech team on it as well. Therefore, my team and I had a very simple and pleasurable implementation experience.

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Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.

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Our business used the trial period they provided on one of our systems and conducted sessions with all of this software. Our team tested all of these software options before deciding on LogicMonitor, as our business is expanding daily and we needed a system that could accommodate our growing workforce and automatically add systems to our network, which LogicMonitor alone provided.

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Invited by TrustRadius (TR) on Vendor's Behalf

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. TR verified that a representative sample of customers was invited. More Info

Pricing seems to be getting more and more aggressive, I worry that it's going to turn into ServiceNow or SAP and everything minor feature will be an extreme cost that prices out us and our customers

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Haven't really used it but our initial onboarding PS was disappointing. Felt like we were being told what we needed to cover as opposed to what we wanted to cover. In addition, we were pushed into using the PS in tight time frames and we were not ready to do so.

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• Customer satisfaction
• Timely project delivery

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• We Eliminated an on-prem monitoring tool which was in excess of 25 servers
• A decrease in time to response from our Network Operations Center resulted in a more consistent client experience
• Dynamic alert thresholds helped reduce alerting by about 10 to 15% as soon as we turned it on for volatile metrics like CPU and memory

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Invited by TrustRadius (TR) on Vendor's Behalf

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. TR verified that a representative sample of customers was invited. More Info