Try our new research platform with insights from 80,000+ expert users

BigPanda vs IBM Tivoli NetCool Impact comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

BigPanda
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
IT Infrastructure Monitoring (27th), IT Alerting and Incident Management (8th), AIOps (12th)
IBM Tivoli NetCool Impact
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
5
Ranking in other categories
Event Monitoring (9th)
 

Mindshare comparison

BigPanda and IBM Tivoli NetCool Impact aren’t in the same category and serve different purposes. BigPanda is designed for IT Infrastructure Monitoring and holds a mindshare of 0.6%, down 1.0% compared to last year.
IBM Tivoli NetCool Impact, on the other hand, focuses on Event Monitoring, holds 3.5% mindshare, up 2.6% since last year.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
BigPanda0.6%
Zabbix8.2%
Datadog4.1%
Other87.1%
IT Infrastructure Monitoring
Event Monitoring Market Share Distribution
ProductMarket Share (%)
IBM Tivoli NetCool Impact3.5%
ServiceNow IT Operations Management12.8%
OpsRamp10.7%
Other73.0%
Event Monitoring
 

Featured Reviews

Michael Wenn - PeerSpot reviewer
CEO / Co-Founder at Aiops ltd
Automated incident workflows have reduced alert noise and now improve response efficiency
In my opinion, the best feature of BigPanda is its speed in terms of deployment. It has very strong integration with all of the major platforms and workflows that organizations need. The biggest customers are enterprises like HSBC and Barclays. Implementing something effective for them that dramatically reduces meantime to repair and the number of incidents is substantially difficult, as projects can often extend three years with very small results. BigPanda is different; it is a tool relied on by many enterprises, fitting over existing toolsets rather than trying to replace them, which makes it non-competitive to many existing alerts and monitoring tools. It enhances existing systems to provide actionable intelligence for business solutions.
Hennie Du Toit - PeerSpot reviewer
Principal Specialist Architecture and Governance at a tech services company with 501-1,000 employees
Event management strengthens with automation but needs better event flooding handling
Better handling of event flooding in IBM Tivoli NetCool Impact would be beneficial. If there are massive issues with power, for example, and we get millions of events, then it struggles to deal with that. Better root cause correlation and faster processing for IBM Tivoli NetCool Impact would be helpful. If there can be more end-to-end functionality, such as observability tools built in natively, that would be great. With correlation, IBM Tivoli NetCool Impact has many functions, but we've built them custom-built. Functions such as automated logging, automated dispatching, and automated notification of engineers could be native in the tool.

Quotes from Members

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

Pros

"I would definitely recommend BigPanda for its time-saving features, root cause analysis, topology overview, and visual event representation capabilities."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"One of the most valuable features of BigPanda is its user-friendly interface."
"Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"The most valuable features of BigPanda include event deduplication, correlations, and enrichment, which reduce the noise in the environment."
"The most valuable feature that comes with Netcool/Impact is the ISPF APA support. It is inherent to Netcool/Impact, so I can use the ISPF of any other product, which I can invoke and consume through Impact, and do integrations, which is great. I run the Netcool desktop application so I can integrate with other applications in the ticketing system. It's a great ability being able to invoke ISPF and integrate."
"The stability has been very good for IBM Tivoli NetCool Impact, rated around eight or nine."
"The solution is great at being able to fetch almost any kind of file."
"This product allows us to make use of open-source products, including running Java code."
"It is easy to integrate with other models such as Oracle, other systems, external systems, and to reach events."
 

Cons

"I am not sure if we can pull reports of bulk incidents in different formats like PDF, Excel, or CSV. This feature would allow us to extract monthly incident reports similar to ServiceNow."
"The solutions were quite useful but not completely stable."
"When handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer."
"The planned maintenance feature in BigPanda needs enhancements due to its limited scheduling options."
"BigPanda sometimes creates false incidents and workarounds, causing financial disturbances because we pay for each incident."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"Logic Monitor has a slightly different and better version of agentic AI."
"The solution is somewhat complicated. It's not exactly straightforward."
"Better handling of event flooding in IBM Tivoli NetCool Impact would be beneficial. If there are massive issues with power, for example, and we get millions of events, then it struggles to deal with that."
"IBM is not investing in the development of the on-premise version of this solution."
"For improvement, I'd say the dashboard and the overall GUI could use some work. Although, I don't think that there's much improvement that Netcool really needs to achieve in this area, because when we're talking GUI, Impact is able to integrate with any third-party system and it comes with ISPF APA. It's more beneficial than Netcool/OMNIbus in this respect, and it's quite easy to handle."
"Stability-wise, this product needs to be improved."
 

Pricing and Cost Advice

"BigPanda is cheaper than the competitors."
"We pay $200,000 USD per year."
"The price of BigPanda is in the middle compared to other solutions."
"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."
"Licensing of IBM Tivoli NetCool Impact depends on the number of nodes on the element that you are monitoring."
"The licensing is yearly, and although I'm happy with the pricing I do think it could be better."
report
Use our free recommendation engine to learn which IT Infrastructure Monitoring solutions are best for your needs.
880,844 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
27%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise11
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
What do you like most about BigPanda?
One of the most valuable features of BigPanda is its user-friendly interface.
What is your experience regarding pricing and costs for BigPanda?
The pricing of BigPanda includes considerations for pricing, licensing, and setup costs of the solution.
What needs improvement with IBM Tivoli NetCool Impact?
Better handling of event flooding in IBM Tivoli NetCool Impact would be beneficial. If there are massive issues with power, for example, and we get millions of events, then it struggles to deal wit...
What is your primary use case for IBM Tivoli NetCool Impact?
IBM Tivoli NetCool Impact is our event management tool, specifically the umbrella fault management tool set. All of our events across the network correlate the data for us, and we have certain use ...
What advice do you have for others considering IBM Tivoli NetCool Impact?
We remain a partner with IBM Tivoli and continue using their products. We use IBM Tivoli NetCool Impact's AIOps functionality. We experienced some skills issues, but currently receive assistance fr...
 

Also Known As

No data available
Tivoli NetCool Impact
 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Claranet, Consolidated Communications, Telus, €sterreichische Bundesbahnen (€BB), Telekom Srbija, Bendigo Community Telco, Capgemini, Schweizerische Bundesbahnen (SBB)
Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring. Updated: December 2025.
880,844 professionals have used our research since 2012.