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."
"SevOne has rich API capabilities, giving us the flexibility to control what we collect and customize the collection, creation, and manipulation of now metrics as necessary."
"The monitoring of the network is very customizable. That is its unique feature."
"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."
"Scalability. I have never had to worry about how to handle really big environments."
"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."
"The SMP and the xStats, which is for flat file integration, are both useful for integrating the various metrics that the device provides to monitor the performance of those systems."
"Another useful feature is that SevOne gives you real-time insights into your network performance. It polls every five minutes. That is important for our customers because there are some network teams that are always monitoring their networks."
"The comprehensiveness of this solution's collection of network performance and flow data is one of the basics in the field for what it does. It meets all of our needs. So for all those areas, for the most straightforward collection capabilities, right up to NetFlow and even telemetry, it meets all those demands. Not only just basic or fundamental SNMP collection capability, but the product also supports what we need for the future with telemetry streaming. So it's very comprehensive."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"Dynamic Component Mapping is key and unique."
"The solution provides good infra-monitoring features."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"Power packs."
"It is simple."
"The most valuable features of ScienceLogic are AI and machine learning."
"The Wi-Fi side needs improvement."
"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."
"The user management features need to be improved. It would be nice if we had more granular control, or layers of control, out of the box."
"The tool needs improvement in non-Cisco SD-WAN."
"There are a lot of pain points. My main problem is that we don't have a high availability system. There are 20 peers. We're going to lose the end-of-life appliances that are old. If we lose a peer and it doesn't come back, we lose all that data. The reason we don't have high availability is because it's double the charge."
"Would benefit with the addition of AI modules for proactive data insights."
"High-frequency polling is data-intensive because you're pulling more. If SevOne could figure out a way to manage the impact of high-frequency polling on the system, that would be very popular."
"We previously have had discussions on some reporting enhancements. So, we raised a feature request, which was delivered from SevOne."
"There are some tweaks and enhancements that I've already requested. One is to be able to make changes per device rather than as a global setting. That has to do with naming. It's minor."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"It was challenging onboarding users."
"I would like to see out-of-the-box standard dashboards for common services."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"The product must educate its strategic partners for deployment."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
"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."
More IBM SevOne Network Performance Management (NPM) Pricing and Cost Advice →
IBM SevOne Network Performance Management (NPM) is ranked 41st in Network Monitoring Software with 52 reviews while ScienceLogic is ranked 14th in Network Monitoring Software with 42 reviews. IBM SevOne Network Performance Management (NPM) is rated 8.6, 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 NPM, Splunk Enterprise Security and NETSCOUT nGeniusONE, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and ServiceNow Discovery. See our IBM SevOne Network Performance Management (NPM) vs. ScienceLogic report.
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