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BigPanda vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 2025

Review summaries and opinions

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

ROI

Sentiment score
5.5
BigPanda offers efficiency benefits for managing over 10,000 events weekly, saving time and resources compared to tools like Netcool.
Sentiment score
6.9
Splunk Observability Cloud boosts ROI with improved efficiency, reduced downtime, faster problem resolution, and significant operational savings.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
Technical Lead
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
Software Engineer at Trianz
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Senior Manager at a financial services firm with 10,001+ employees
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
General Manager at MOCOMSYS
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
IT Operations Engineer at ABC Supply Co. Inc.
 

Customer Service

Sentiment score
6.5
BigPanda's customer service is responsive and helpful, with noted inconsistencies like slow emails and no phone support.
Sentiment score
7.1
Splunk Observability Cloud's customer service is responsive and helpful but experiences issues with delays and limited staffing in regions.
If BigPanda can consistently provide such competent contacts, I would rate the support ten out of ten, otherwise, it is an eight out of ten.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
Companies like CoreLogix, which is a log platform, achieve ten out of ten due to their responsiveness.
CEO / Co-Founder at Aiops ltd
For technical support, we have only had to address password resets and alert mismatching.
Technical Lead
On a scale of 1 to 10, the customer service and technical support deserve a 10.
Systems Administrator at a insurance company with 1,001-5,000 employees
They have consistently helped us resolve any issues we've encountered.
Software Engineer at UKG
They often require multiple questions, with five or six emails to get a response.
Splunk Observability Expert
 

Scalability Issues

Sentiment score
7.2
BigPanda is scalable and integrates well, although experiences vary based on configuration efforts and peak time performance.
Sentiment score
7.3
Splunk Observability Cloud scales well but can be costly, requiring careful management of pricing and metric limits.
It handles large volumes of alerts without limitations.
We manage a large environment with over 50,000 servers and various monitoring tools like Dynatrace, New Relic, Splunk, Nagios, and Datadog.
Software Engineer at Trianz
I rate the scalability of BigPanda at eight.
Manager Observability at ICE
We've used the solution across more than 250 people, including engineers.
Splunk Observability Expert
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
Application Developer at UMB Financial
I would rate its scalability a nine out of ten.
Senior Manager at a financial services firm with 10,001+ employees
 

Stability Issues

Sentiment score
7.5
BigPanda is stable with minimal downtime and effective incident management, though occasional service interruptions are promptly addressed.
Sentiment score
7.7
Splunk Observability Cloud offers reliable performance with minimal issues, quickly resolving occasional glitches, leading to high user satisfaction.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
Manager Observability at ICE
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
Software Engineer at Trianz
I would rate its stability a nine out of ten.
Head of DevOps at a tech services company with 1-10 employees
We rarely have problems accessing the dashboard or the page.
Splunk Observability Expert
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
General Manager at MOCOMSYS
 

Room For Improvement

BigPanda requires enhancements in analytics, usability, integration, UI, and cost while improving accuracy, dashboards, and multi-cloud observability.
Splunk Observability Cloud needs improved integration, cost transparency, better UI, enhanced AI, customization, stability, and streamlined processes.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
It would be beneficial if BigPanda leveraged AI to solve critical issues related to editing and sending alerts based on enrichment mapping files.
Software Engineer at Trianz
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
IT Operations Engineer at ABC Supply Co. Inc.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
Systems Monitoring Engineer II at a government with 10,001+ employees
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Head of DevOps at a tech services company with 1-10 employees
 

Setup Cost

BigPanda offers cost-effective pricing at $200,000 annually, providing flexibility and competitive advantages for high-growth companies.
Splunk Observability Cloud is costly but offers negotiable and flexible pricing justified by its features and solutions.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
Software Engineer at Trianz
Splunk is a bit expensive since it charges based on the indexing rate of data.
Senior Manager at a financial services firm with 10,001+ employees
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
Solutions Architect at Ikusi
It appears to be expensive compared to competitors.
Head of DevOps at a tech services company with 1-10 employees
 

Valuable Features

BigPanda streamlines incident management with AI-driven alert deduplication, offering seamless integration and enhancing real-time incident resolution.
Splunk Observability Cloud offers user-friendly dashboards, AI analytics, and seamless integration, improving visibility, issue resolution, and operational performance.
Its automation has significantly improved incident response times, reducing the process to within one minute.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
Manager Observability at ICE
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
Technical Lead
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
Senior Manager at a financial services firm with 10,001+ employees
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk Observability Expert
It offers unified visibility for logs, metrics, and traces.
Administrator at a tech vendor with 10,001+ employees
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
27th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
19
Ranking in other categories
IT Alerting and Incident Management (8th), AIOps (12th)
Splunk Observability Cloud
Ranking in IT Infrastructure Monitoring
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
75
Ranking in other categories
Application Performance Monitoring (APM) and Observability (8th), Network Monitoring Software (6th), Cloud Monitoring Software (6th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of January 2026, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.6%, down from 1.0% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.0%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Market Share Distribution
ProductMarket Share (%)
Splunk Observability Cloud2.0%
BigPanda0.6%
Other97.4%
IT Infrastructure 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.
Dhananjay Dileep - PeerSpot reviewer
Senior Software Engineer at a consultancy with 10,001+ employees
Unified monitoring has improved end-to-end visibility and reduced detection time across apps
When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Manufacturing Company
9%
Healthcare Company
7%
Computer Software Company
7%
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
10%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise11
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise10
Large Enterprise47
 

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 do you like most about SignalFx?
The most valuable feature is dashboard creation.
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about BigPanda vs. Splunk Observability Cloud and other solutions. Updated: January 2026.
881,114 professionals have used our research since 2012.