IBM SevOne Network Performance Management (NPM) vs ScienceLogic comparison

IBM SevOne Network Performance Management (NPM) vs. ScienceLogic

Download the complete report

Helped 815,854 peers since 2012

Categories and Ranking

Juniper Mist Premium Analytics

Featured Reviews

ALEXANDRE VIANNA

CTO at Redeswirelessbrasil

May 3, 2024

Has a single dashboard, but is expensive

We use this solution to manage our mission environment The single dashboard is a valuable feature. The technical support needs improvement. The initial setup is straightforward. The solution is expensive. I rate the pricing an eight out of ten. Overall, I rate the solution a seven out of…

Read full review

Grzegorz Nowak

Solution Architect at Wingu

Apr 29, 2024

Improves infrastructure planning by helping us analyze network traffic

We use SevOne to collect and report on network flows SevOne improves infrastructure planning by helping us analyze network traffic. We can look at bandwidth for specific endpoints on the customer's network and analyze traffic to identify issues. For example, maybe some connectors are unavailable.…

Read full review

GauravSingh4

CEO at Parker Digital

Jul 21, 2022

Great integrations, power flow, and good support

They need a little more self-service. Some of the places where there's still a dependency on defense logic. If those could be eliminated, that would be ideal. They've done a fantastic job eliminating a lot of those dependencies and there's a lot of self-service. However, some of the areas where we could have it connect to, for example, Splunk or ServiceNow, in a self-care version versus having to go back to their engineers, that's an area where they could do a little more. There are still a lot of engineers who get involved versus if it's a little more API-driven and self-served dashboard connections. Doing it the other way would just make life easier for users.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The single dashboard is a valuable feature."

"We can manage the entire system across the network and troubleshoot the pain points."

"I like SevOne's network flow reporting."

"SevOne’s data collection functionality is very good. From a collection point of view, we pull SNMP data, which is simple. It is easy to manipulate the pull in the estate. It is really simple compared to some of the other products that we have used. However, for deferred data, i.e., things that we import or don't pull directly, we tend to have a preplanned integration. So, its Universal Collector is really useful."

"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."

"Data Insight reporting tool is the most valuable feature. They came up with it a couple of years ago. The most pleasing factor is the dark theme. You don't have a white background. It has templates that you can create for all kinds of reports that you can hit on the fly. It's much better printing of the reports. If you want to send PDFs to people, the reports are actually decent. Whereas for years, the old architecture of the PDFs was rubbish and even our customers said, "We have to manipulate your PDFs because they all have bad margin breaks. SevOne fixed that a couple of years ago with the new Data Insight. It's fantastic."

"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."

"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."

"The monitoring of the network is very customizable. That is its unique feature."

"Flexible architecture: You can extend the system and its capacity by attaching another cluster pair."

More IBM SevOne Network Performance Management (NPM) pros

"When it comes to features, the power pack is the most valuable."

"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."

"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."

"The solution provides good infra-monitoring features."

"The power flow is great."

"One of the valuable features is rapid dashboards."

"Provides agentless monitoring so there's no need to install the agent on each server."

More ScienceLogic pros

Cons

"The Wi-Fi side needs improvement."

"The technical support needs improvement."

"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."

"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."

"Some similar solutions offer end-to-end visibility."

"I would like to see live maps as an added feature. Also, build modules on AI and EML to provide better data insights that would proactively tell us what we should be looking after."

"One area that requires a little bit of improvement is the topology of visualization and being able to map out connections, end-to-end. It's able to do that, but it's not as impressive as we would like it to be. We would like to understand the different interface types and the connection points better, through the visualization. Heatmaps also need further development."

"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."

"With the administrative management of the appliance, if some object appears from SevOne because something changed in the network or whatever, then as an administrator you will not be aware. If you are using this object in a report, this object will disappear from the report and you will not be aware of it. So, if you have 1,000 reports, you cannot always check these reports everyday to see if objects are missing or information has disappeared. We don't have any information on alerts, saying that something is happening there and maybe we need to take action. If an object was replaced by another one, or if a link was replaced by another one, then the graph needs to be changed because it doesn't exist in the graph anymore. However, we don't have this information."

More IBM SevOne Network Performance Management (NPM) cons

"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."

"The product is not user-friendly."

"From a performance perspective, it needs to improve a lot."

"They should improve their support process and add chat."

"ScienceLogic could improve the implementation, it could be made easier."

"I would like to see out-of-the-box standard dashboards for common services."

"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."

More ScienceLogic cons

Pricing and Cost Advice

"The solution is expensive."

"Choose a SevOne partner who can provide SevOne as a service and can deliver professional services and maintenance."

"Have a bank of licenses, because it is about the number of objects (RAM, ports, CPU, etc.)."

"The pricing has been fair."

"A blocking point is the high upfront cost because it is challenging to get it accepted and the purchase approved."

"Prices per license are not huge, but they exist."

"Although I don't have exact details in terms of cost, my experience has been that SevOne is willing to make a deal with the customer."

"There are cheaper solutions available."

"The tool is not expensive. We were able to negotiate with SevOne on pricing."

More IBM SevOne Network Performance Management (NPM) pricing and cost advice

"The license of ScienceLogic is based on how many endpoints are used. The number of monitoring points you want to have."

"The solution is license-based. It's between $8 and $15, depending on what you need from the product."

"Its price could be lower, but for what you pay, you got a lot of value from its features and functionalities. Customers always want a discount or a cheaper solution."

"It comes with the OS built in, so no need to purchase an OS license or DB license."

"The pricing model for ScienceLogic could improve."

"My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price."

"Plan for adding more to it. Once you see EM7 in action, you will want to keep adding systems to monitor."

"Decide what you want to monitor and only monitor those items. Absorb other elements as you grow."

More ScienceLogic pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which IT Infrastructure Monitoring solutions are best for your needs.

See recommendations

815,854 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

12%

Manufacturing Company

Government

Computer Software Company

16%

Manufacturing Company

16%

Financial Services Firm

15%

Educational Organization

Computer Software Company

16%

Financial Services Firm

11%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Juniper Mist Premium Analytics?

We can manage the entire system across the network and troubleshoot the pain points.

What is your experience regarding pricing and costs for Juniper Mist Premium Analytics?

The solution is expensive. I rate the pricing an eight out of ten.

What needs improvement with Juniper Mist Premium Analytics?

The technical support needs improvement.

What do you like most about SevOne Network Data Platform?

I like the tool’s scalability and real-time reports. Earlier, we struggled to give real-time reports to clients. I al...

What is your experience regarding pricing and costs for SevOne Network Data Platform?

The tool is not expensive. We were able to negotiate with SevOne on pricing.

What needs improvement with SevOne Network Data Platform?

SevOne could improve its flexibility because it isn't fully customizable and its out-of-the-box configuration doesn't...

What do you like most about ScienceLogic?

The tool is quite easy to deploy, and it offers very good support.

What is your experience regarding pricing and costs for ScienceLogic?

My company has an enterprise-level contract with ScienceLogic, so it is available to my organization at a good price.

What needs improvement with ScienceLogic?

The product's reporting functionalities have certain shortcomings, making it an area where improvements are required....

ThousandEyes vs Juniper Mist Premium Analytics

Comparisons

Compared 37% of the time

Cisco DNA Center vs Juniper Mist Premium Analytics

Compared 31% of the time

Meraki Dashboard vs Juniper Mist Premium Analytics

Compared 21% of the time

InfluxDB vs Juniper Mist Premium Analytics

Compared 11% of the time

More Juniper Mist Premium Analytics Competitors

Instana Infrastructure Monitoring vs IBM SevOne Network Performance Management (NPM)

Compared 13% of the time

NETSCOUT nGeniusONE vs IBM SevOne Network Performance Management (NPM)

Compared 9% of the time

SolarWinds Network Device Monitor vs IBM SevOne Network Performance Management (NPM)

Compared 9% of the time

Splunk Enterprise Security vs IBM SevOne Network Performance Management (NPM)

Compared 7% of the time

Zabbix vs IBM SevOne Network Performance Management (NPM)

Compared 6% of the time

More IBM SevOne Network Performance Management (NPM) Competitors

Dynatrace vs ScienceLogic

Compared 16% of the time

LogicMonitor vs ScienceLogic

Compared 10% of the time

Datadog vs ScienceLogic

Compared 10% of the time

Zabbix vs ScienceLogic

Compared 9% of the time

SolarWinds NPM vs ScienceLogic

Compared 9% of the time

More ScienceLogic Competitors

Product Reports

Network Monitoring Software

Download Juniper Mist Premium Analytics product report

IBM SevOne Network Performance Management (NPM)

Download IBM SevOne Network Performance Management (NPM) product report

IBM SevOne Network Performance Management (NPM) report

Download ScienceLogic product report

ScienceLogic

October 2024

Also Known As

No data available

SevOne

No data available

Learn More

Juniper

IBM

ScienceLogic

Overview

Juniper Mist Premium Analytics is a comprehensive network analytics solution that provides organizations with valuable insights into their network performance and user experience. The primary use case of this product is to enable IT teams to proactively monitor, troubleshoot, and optimize their network infrastructure.

The most valuable functionality of Juniper Mist Premium Analytics is its AI-driven insights and recommendations. Leveraging machine learning algorithms, it analyzes vast amounts of network data to identify anomalies, predict potential issues, and suggest remediation actions. This proactive approach helps organizations minimize network downtime, improve user experience, and optimize network performance.

By providing real-time visibility into network performance, Juniper Mist Premium Analytics helps organizations quickly identify and resolve network issues. It offers detailed analytics on network traffic, application performance, and user behavior, allowing IT teams to pinpoint the root cause of problems and take immediate action. This not only reduces troubleshooting time but also enhances overall network reliability.

Furthermore, Juniper Mist Premium Analytics enables organizations to optimize their network infrastructure. It provides insights into network capacity utilization, application usage patterns, and user behavior, allowing IT teams to make informed decisions about network design, resource allocation, and capacity planning. This helps organizations to ensure that their network is efficiently utilized and can support the growing demands of their users.

The IBM® SevOne Network Performance Management (IBM SevOne NPM) solution helps you spot, address, and prevent network performance issues early with machine learning-powered analytics from a single source. Boost network performance and improve your user application experience by proactively monitoring your multivendor end-to-end network across enterprise, communication, and managed service provider networks.

Transform raw network performance data into intelligent and actionable insights. The IBM SevOne NPM solution goes beyond detection, combining industry-leading expertise and advanced technology to help your IT team plan and optimize your network and act on what matters: improving network performance to provide an exceptional customer experience.

For further information, please visit www.ibm.com/cloud/sevo...

ScienceLogic is a comprehensive IT infrastructure monitoring solution that supports networks, servers, cloud environments, and applications, suitable for private cloud and on-premises deployments.

Organizations leverage ScienceLogic for its robust capabilities in monitoring IT infrastructures of all sizes. It offers granular discovery, integration with CMDB, and ticketing systems. Valued for its flexibility, incident automation, remediation, and real-time relationship mapping, it supports hybrid environments with scalable and efficient monitoring functionalities. AI and machine learning enhance its feature set, while ease of deployment and strong support are crucial benefits.

What are ScienceLogic's most important features?

Agentless Configuration: Ensures easy deployment without the need for agents.
Third-Party Integration: Seamlessly integrates with various tools.
Dynamic Component Mapping: Offers real-time relationship and dependency mapping.
Flexible Graphs: Allows custom visual representation of data.
Role-Based Access: Provides tiered access for different user roles.
Infrastructure and Event Management: Efficiently monitors hybrid environments.

What benefits and ROI should users look for?

Scalability: Handles environments of all sizes efficiently.
AI and Machine Learning: Enhances automation and incident management.
Ease of Deployment: Streamlines initial setup and reduces time to value.
Customization: Custom dashboards and reports cater to specific needs.
Comprehensive Support: Access to excellent support services.

ScienceLogic is implemented across multiple industries, including large enterprises, for its capability to handle complex IT ecosystems. Its integration with CMDB and ticketing systems ensures it fits within existing workflows. Organizations use it to monitor diverse infrastructure landscapes, ensuring seamless performance and quick incident resolution.

Sample Customers

Information Not Available

ATOS, Devereux, Spark New Zealand, Access4, Rogers Communication, Lumen (formerly known as CenturyLink)

Kellogg Company, Booz Allen, Cisco, Red Bull, Fidelus, Telstra, Comcast, CSC, Peak 10, HughesNet, Hosting, Datapipe, US Army, Equinix, Rite Aid, Carbonite, Sybase, Carpathia, AT&T, ePlus, Dimension Data, Virtustream, Boeing, Honeywell

IBM SevOne Network Performance Management (NPM) vs. ScienceLogic