We compared IBM SevOne Network Performance Monitoring and ScienceLogic across several parameters based on our users' reviews. After reading the collected data, you can find our conclusion below:
Features: IBM SevOne NPM users like its modular design, performance management reports, and real-time insights. The solution is also praised for its SNMP data collection and integration with ITSM solutions. ScienceLogic is highly regarded for its serverless and agent connectivity, versatile graphs and personalized dashboards, AIOps and event management capabilities, as well as its AI and machine learning features.
Room for Improvement: IBM SevOne NPM could benefit from better SD-WAN capabilities and live maps. Users say the solution could also improve its AI/ML modules and provide more actionable insights. ScienceLogic can enhance its documentation, Power Packs, notification features, and automation options.
Service and Support: Customers reported generally positive experiences with IBM customer service, praising the support team's availability and responsiveness. However, some users said they would rather not have to rely so heavily on support for upgrades. ScienceLogic's customer service is generally considered responsive and professional. However, a few users reported delayed response times and support engineers with limited expertise.
Ease of Deployment: The setup process for IBM SevOne NPM is described as quick and uncomplicated, although some users may require extra configuration. ScienceLogic's initial setup is described as simple and efficient. The deployment process can be completed within a few hours or a couple of weeks.
Pricing: IBM SevOne NPM is seen as costly, particularly for smaller businesses. Opinions on the price of ScienceLogic were mixed. Pricing is determined by the number of network devices or endpoints, and there are no hidden charges.
ROI: IBM SevOne NPM offers features such as device maintenance and out-of-the-box reports that contribute to its value. ScienceLogic improves troubleshooting and minimizes network outages.
Comparison Results: IBM SevOne NPM stands out for its real-time insights, integration capabilities, straightforward setup, and top-notch customer service. Users say the solution could improve its AI/ML capabilities and lower its pricing to be more affordable for smaller businesses. ScienceLogic is praised for its serverless and agent connectivity, effortless setup, and customized dashboards. However, it lacks detailed documentation and automation options.
"We can manage the entire system across the network and troubleshoot the pain points."
"With this tool it is interesting to show the info to the client and explain where the traffic is."
"Flexible architecture: You can extend the system and its capacity by attaching another cluster pair."
"The network data collection has been very flexible for us. It's been thorough in areas that were lacking. They have a team that I've worked with to add other pieces to it. So if it's missing something out of the box, they work with me to add it. I was able to collect that data. It's not perfect, but it's pretty thorough."
"We've had great feedback from our customers about SevOne support. They're willing to set up a remote session upon request. You have to go through three tiers of support with most vendors, and they ask a lot of screening questions before they will do a remote session. You need to spend a lot of time before an engineer will host a remote session to look at your problematic system."
"One of the most valuable features is the graphs, which you can build instantly. I have used some open-source platforms in the past, but they are not as good. With SevOne, the sampling in the graph can be every few seconds, not just every few minutes, and that's really helpful. It's really fast."
"Scalability. I have never had to worry about how to handle really big environments."
"The most valuable feature is the NMS because that's the core of the system. Without the NMS, the other tools aren't that usable."
"One of the solution's biggest strengths is its capacity management performance, with out-of-the-box reports through NMS, as well as its ability to collect NetFlow-related data from devices. The collection of network performance and flow data is important because we have many critical business applications."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
"It is simple."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"Power packs."
"The tool is quite easy to deploy, and it offers very good support."
"Its ITSM and EMS combination is really amazing. There is no need to purchase two products, one for ITSM and a second for EMS/NMS."
"When it comes to features, the power pack is the most valuable."
"Provides agentless monitoring so there's no need to install the agent on each server."
"The Wi-Fi side needs improvement."
"You need to plan integrations. That has been the biggest bug with SevOne so far. For the things that SevOne pulls directly, those are easy to understand, modify, and put into the database. For things that need to use the Universal Collector or xStats, you need to plan that stuff well in advance."
"We need to be thinking about streaming telemetry protocols. They already have the port for enhanced visualization, which they already have through Data Insight."
"SevOne should work with the graphs legend functionality."
"Software upgrades can be tricky is not easy."
"There is no service mode setup in this monitoring tool if you want to snooze alerts for any specific amount of time, to account for any activity change or major incident."
"Would benefit with the addition of AI modules for proactive data insights."
"In terms of having a complete view of our network performance, I would rate it a nine out of 10. The reason for not giving it a 10 is that there is no packet capture associated with SevOne, but we do have other tools in place to do that."
"SevOne could improve its flexibility because it isn't fully customizable and its out-of-the-box configuration doesn't cover all use cases."
"Admins do not have direct access to the reporting."
"ScienceLogic could improve the implementation, it could be made easier."
"The product must educate its strategic partners for deployment."
"The product is not user-friendly."
"From a performance perspective, it needs to improve a lot."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
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IBM SevOne Network Performance Management (NPM) is ranked 34th in IT Infrastructure Monitoring with 53 reviews while ScienceLogic is ranked 12th in IT Infrastructure Monitoring with 42 reviews. IBM SevOne Network Performance Management (NPM) is rated 8.4, while ScienceLogic is rated 8.6. The top reviewer of IBM SevOne Network Performance Management (NPM) writes "We can get a new vendor certified and monitored in our system significantly faster than before". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". IBM SevOne Network Performance Management (NPM) is most compared with Instana Infrastructure Monitoring, LogicMonitor, SolarWinds Network Device Monitor, Splunk Enterprise Security and SolarWinds NPM, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Zabbix. See our IBM SevOne Network Performance Management (NPM) vs. ScienceLogic report.
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