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BigPanda vs Splunk AppDynamics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 6, 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
6.0
BigPanda improved efficiency, reduced response times, consolidated alerts, saved man-hours, and increased productivity with seamless integration and intuitive automation.
Sentiment score
7.3
Splunk AppDynamics enhances app performance, customer experience, and efficiency, offering quick ROI, cost reductions, and operational improvements.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
 

Customer Service

Sentiment score
6.7
BigPanda's support is responsive and helpful, but some users experience delays and difficulty with escalation and contact methods.
Sentiment score
7.3
Splunk AppDynamics support is praised for knowledge and engagement, despite occasional response time and geographical challenges.
For technical support, we have only had to address password resets and alert mismatching.
They are generally fast with their responses, although there might be some delays when escalating to the next level.
The customer service and support are helpful and responsive.
 

Scalability Issues

Sentiment score
7.0
BigPanda efficiently manages large alert volumes, supports integration, and is rated highly for scalability, aiding IT team collaboration.
Sentiment score
7.4
Splunk AppDynamics is praised for scalability across environments, though pricing and large deployments pose occasional challenges.
It handles large volumes of alerts without limitations.
I rate the scalability of BigPanda at eight.
BigPanda facilitates better collaboration between IT teams by providing a shared view of incidents and requests.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I did not find any Docker solution available with it, and a separate instance has to be installed.
 

Stability Issues

Sentiment score
7.4
BigPanda is stable with resolved initial issues, prompt notifications, high availability, but manual alert checks are still needed.
Sentiment score
7.7
Splunk AppDynamics offers strong stability and high performance, with minimal downtime and excellent support despite occasional issues.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
I can rate it nine out of ten.
 

Room For Improvement

BigPanda needs better analytics, intuitive interface, improved integration, reduced costs, and enhanced dashboard, automation, and reporting features.
Splunk AppDynamics requires improvements in interface design, setup, mobile compatibility, real-time monitoring, and modern technology support.
A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis.
I am not sure if we can pull reports of bulk incidents in different formats like PDF, Excel, or CSV.
The planned maintenance feature in BigPanda needs enhancements due to its limited scheduling options.
Splunk AppDynamics provides an end-to-end view of the application but misses the infrastructure part, which is crucial.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
 

Setup Cost

BigPanda offers flexible, mid-range pricing ideal for high-growth companies, with scenarios varying based on existing solutions and discounts.
Enterprise users find Splunk AppDynamics pricing complex and costly, requiring careful assessment and negotiation for better deals.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
 

Valuable Features

BigPanda enhances service reliability with AI/ML, streamlined integration, automation, real-time notifications, and a centralized alert dashboard.
Splunk AppDynamics offers comprehensive observability, real-time monitoring, and efficient transaction analysis across development and production environments with minimal overhead.
Its automation has significantly improved incident response times, reducing the process to within one minute.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
It can correlate multiple issues within a single device, create a single incident, and thus reduce noise and provide faster resolution.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
The real-time feature provides me with insights into what's happening.
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
51st
Average Rating
7.2
Reviews Sentiment
6.7
Number of Reviews
15
Ranking in other categories
IT Alerting and Incident Management (12th), AIOps (18th)
Splunk AppDynamics
Ranking in IT Infrastructure Monitoring
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
245
Ranking in other categories
Application Performance Monitoring (APM) and Observability (3rd), IT Operations Analytics (2nd), Mobile APM (2nd), Container Monitoring (3rd)
 

Mindshare comparison

As of April 2025, in the IT Infrastructure Monitoring category, the mindshare of BigPanda is 0.9%, down from 1.0% compared to the previous year. The mindshare of Splunk AppDynamics is 3.3%, down from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

Q&A Highlights

BH
Dec 10, 2020
 

Featured Reviews

Ankit-Mathur - PeerSpot reviewer
Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts
For new users, I would advise using BigPanda for its comprehensive alert monitoring and integration with ServiceNow. Its mapping capabilities and user-friendly interface make it valuable for incident analysis and prioritization. As users become more familiar with the tool, its full potential will become apparent, enhancing efficiency and effectiveness over time. It is easy for someone to learn to use BigPanda for the first time. We start with basic examples that everyone can understand, then provide verbal introductions followed by hands-on training over two weeks. We encourage making mistakes and asking questions to ensure understanding. It depends on the trainer's approach, but with proper guidance, anyone can learn effectively. Overall, I would rate BigPanda as a five out of ten. For it to be a perfect ten, it would need to consistently provide accurate alerts without requiring manual validation. This means it should effectively suppress similar incidents, eliminating the need for constant monitoring. Once it reaches this level of reliability, BigPanda would be exceptional.
Muhammad Zeeshan Siddiqui - PeerSpot reviewer
Dynamic mapping enhances workflows that are user-friendly
One aspect that requires improvement is the agent. Without an agent, gathering sufficient information on applications is challenging. Additionally, the agent sometimes creates performance issues in production environments. If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems. Moving to an agentless solution, like what some competitors are doing, would be beneficial.
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Answers from the Community

BH
Dec 8, 2020
Dec 8, 2020
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 monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log ...
2 out of 5 answers
reviewer802371 - PeerSpot reviewer
Oct 20, 2020
Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
reviewer1352679 - PeerSpot reviewer
Oct 20, 2020
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 monitoring.  We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace.  Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future.  We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation.  We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing.  Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.   I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions.  You will need additional monitoring products to capture data and feed them.  Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment. Here's a quick pro/con list on Dynatrace & New Relic from our analysis. New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product. New Relic Cons: Requires lots of manual configurations to implement and support.  Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.   Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful.  High integration of infra and APM data for full-stack observability and engineering.  Topology and trace discovery is more reliable than other products or our CMDB.  Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting.  AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project. Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis.  Host, process, and service data is not available to query within the product.  Alarm processing lacks some granular controls. The Plug-in library is less robust. Good luck with your decision!
 

Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
19%
Manufacturing Company
10%
Insurance Company
7%
Educational Organization
48%
Financial Services Firm
16%
Computer Software Company
9%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
APM tools for a Managed Service Provider - Dynatrace vs. AppDynamics vs. Aternity vs. Ruxit
Hi Avi! It's great to see your thorough approach to selecting an APM package for your MSP company. Considering your focus on SMBs and enterprises in Israel, Dynatrace seems like a solid choice with...
What is your experience regarding pricing and costs for AppDynamics?
I would rate the pricing an eight out of ten. The solution is highly expensive. Our company pays for the solution on a yearly basis, if we don't add new modules or features to the license, we need ...
 

Overview

 

Sample Customers

Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Cisco, Sony, Nasdaq, Reserve Bank of New Zealand, Edmunds.com, Puma, Fox News, DirecTV, Pizza Hut, T-Systems, Cornell University, OpenTable, BITMARCK, Green Mountain Power, Care.com, Overstock, Paddy Power, eHarmony, Kraft, The Motley Fool, The Container Store, and more See more customers
Find out what your peers are saying about BigPanda vs. Splunk AppDynamics and other solutions. Updated: April 2025.
847,959 professionals have used our research since 2012.