No more typing reviews! Try our Samantha, our new voice AI agent.

BigPanda vs Splunk On-Call comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 2, 2025

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
Ranking in IT Alerting and Incident Management
9th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
20
Ranking in other categories
IT Infrastructure Monitoring (21st), AIOps (9th)
Splunk On-Call
Ranking in IT Alerting and Incident Management
10th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the IT Alerting and Incident Management category, the mindshare of BigPanda is 2.7%, down from 4.7% compared to the previous year. The mindshare of Splunk On-Call is 3.4%, down from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Alerting and Incident Management Mindshare Distribution
ProductMindshare (%)
BigPanda2.7%
Splunk On-Call3.4%
Other93.9%
IT Alerting and Incident Management
 

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.
Ramani Happy - PeerSpot reviewer
Dev Ops Engineer at Data Elicit Solutions Pvt. Ltd.
Streamlined incident response has reduced downtime and improved on-call collaboration
A few things I would improve in Splunk On-Call. Honestly, the reporting and analysis side feels a bit weak. If I want to deep dive into the on-call load, including MTTD and MTTR rates, I kind of have to export data and build my own dashboard, which is not as out-of-the-box as I would prefer. The UI has improved, but it still feels a little chunky in certain areas, particularly when managing schedules. When I have a lot of teams, it can get messy. Additionally, the pricing model is per user, which starts to get expensive as the team scales.

Quotes from Members

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

Pros

"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The main thing that we like about BigPanda is the user interface."
"The features of BigPanda that have most improved my incident response times include AIOps, correlation pieces, and grouping, which is a big win for us."
"I rate BigPanda nine out of ten."
"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 is great in that it notifies us of problems as well as where they were triggered."
"BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"VictorOps has decreased the meantime to acknowledge an incident management process, our developers can be on-call faster when we are using this solution, and we can fix our incidents much quicker."
"My VP of Operations is ecstatic about the VictorOps product."
"The big benefit of using Splunk On-Call is that I know I have a high-performance team, but now I can really measure and prove it."
"VictorOps has been good enough for us and it's effective for our needs in case of an on-call escalation process."
"Technical support is an A+ or a 10/10; if I could give an 11/10, I would, and it is what I love about them."
"The alert calling feature is the best because notifications are delivered via phone messages."
"Its the best solution of its type out there, you should go for it."
"I would recommend VictorOps for global distributed support teams."
 

Cons

"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure), and this has caused some delay in the ingestion pipeline."
"When handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"BigPanda attempts a little of everything and fails at most; the AI, in particular, was worthless, and the visualization is primitive and not configurable."
"Logic Monitor has a slightly different and better version of agentic AI."
"In terms of product stability, I can rate it around nine. It is quite good, though I would not rate it a full ten because every time there is a new feature, I have to go through documents or contact support."
"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."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"The third-party configuration tool could be easier to use."
"The solution can be improved by including a wider list of permissions."
"User management has to be improved and more user types need to be added as there is currently only Admin or User."
"Many years ago, when VictorOps was a standalone company, when it was not part of Splunk, their support was more dedicated for us."
"A few things I would improve in Splunk On-Call. Honestly, the reporting and analysis side feels a bit weak."
"The only feature that we are currently waiting on right now is really kind of an annoyance factor: when we get on the timeline on the main dashboard, there’s an ACK All button."
"I would say a little bit of the user experience and the user interface of Splunk On-Call can be improved."
"Another example is that you cannot check the incidents created in VictorOps from the previous Friday."
 

Pricing and Cost Advice

"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."
"BigPanda is cheaper than the competitors."
"We pay $200,000 USD per year."
"The price of the solution could be less expensive."
report
Use our free recommendation engine to learn which IT Alerting and Incident Management solutions are best for your needs.
908,800 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Outsourcing Company
6%
Healthcare Company
6%
Construction Company
12%
Financial Services Firm
10%
Performing Arts
10%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise12
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise10
 

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 is your experience regarding pricing and costs for BigPanda?
Regarding extra expenses, I pay more for communication and do not incur costs for another dashboard perspective, but there are indirect costs related to managing open-source products, leading to re...
What needs improvement with BigPanda?
Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such ...
What is your experience regarding pricing and costs for VictorOps?
The pricing aspect is per-user licensing, which is standard for this category, making it competitive compared to PagerDuty. In the past, we used PagerDuty, but it is not cheap once you start adding...
What needs improvement with VictorOps?
A few things I would improve in Splunk On-Call. Honestly, the reporting and analysis side feels a bit weak. If I want to deep dive into the on-call load, including MTTD and MTTR rates, I kind of ha...
What is your primary use case for VictorOps?
I have been using Splunk On-Call for nearly about two years. Our main use is incident alerting and on-call scheduling for our engineering and DevOps team. Basically, whenever something goes down, a...
 

Also Known As

No data available
VictorOps
 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
NVIDIA, Cisco, NBC, Rackspace, Intuit, DirectTV, NASCAR, Arrow Electronics, Alliance Health, NetApp, Edmunds, New York Times, Return Path, Sony Playstation, CA Technologies, Sphero, Symantic, HBO, Weatherford, Blackboard, Epic Games
Find out what your peers are saying about BigPanda vs. Splunk On-Call and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.