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BigPanda vs Splunk AppDynamics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 11, 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
6.7
BigPanda optimizes operations with significant savings and efficiency for managing over 10,000 weekly events, outperforming tools like Netcool.
Sentiment score
7.2
Users reported improved productivity and cost savings with AppDynamics, noting enhanced monitoring and up to 20% cost reductions.
BigPanda offers significant time-saving, cost-saving, and resource-saving benefits.
BigPanda saves time with its advanced features and manages large environments while requiring fewer resources compared to our previous tool, Netcool.
According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.
It's very hard to find ROI because we are currently focused only on the on-premises applications.
 

Customer Service

Sentiment score
6.6
BigPanda's customer service is usually responsive and effective, though communication delays and variability in experiences are noted.
Sentiment score
7.3
Splunk AppDynamics is praised for responsiveness and support but criticized for inconsistent response times and acquisition-related service quality issues.
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.
For technical support, we have only had to address password resets and alert mismatching.
Their collaboration was good, and I would rate them nine out of ten.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
 

Scalability Issues

Sentiment score
7.0
BigPanda is praised for scalability and integration, with minor licensing concerns and varied experiences with server management.
Sentiment score
7.4
Splunk AppDynamics is scalable and competitive but faces cost and configuration challenges in large, on-premise deployments.
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.
I rate the scalability of BigPanda at eight.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
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 highly stable with minimal issues, reliable alerts, and efficient incident management, despite occasional slowdowns during heavy traffic.
Sentiment score
7.7
Splunk AppDynamics is highly stable, with occasional issues, needing enhancements in agent stability and SaaS environment during heavy use.
BigPanda is now stable.
I would rate the availability of BigPanda at nine because it's almost 99.99% available.
However, when handling critical traffic, the BigPanda site can slow down, which we manage with a load balancer.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
I can rate it nine out of ten.
 

Room For Improvement

BigPanda requires enhancement in AI integration, interface design, reporting, observability, and automation to improve user experience and reduce costs.
Users criticize Splunk AppDynamics for complexity, outdated tech, integration issues, challenging licensing, cost, and limited customization and support.
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.
If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.
 

Setup Cost

BigPanda offers flexible pricing appealing to enterprises with mid-range costs, seen as more affordable than competitors.
Enterprise buyers find AppDynamics valuable but face high costs and complex licensing, requiring negotiation for better pricing.
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
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.
We find its pricing reasonable and competitive.
 

Valuable Features

BigPanda enhances incident response with alert deduplication, platform integration, AI/ML, and custom dashboards for improved service reliability.
Splunk AppDynamics provides real-time monitoring and analytics to identify performance issues, offering user-friendly operation across various platforms.
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.
BigPanda improves service reliability with instant resolution, increased uptime, and reduced mean time to resolution, thus enhancing service quality.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows.
What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces.
 

Categories and Ranking

BigPanda
Ranking in IT Infrastructure Monitoring
26th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
18
Ranking in other categories
IT Alerting and Incident Management (8th), AIOps (6th)
Splunk AppDynamics
Ranking in IT Infrastructure Monitoring
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
249
Ranking in other categories
Application Performance Monitoring (APM) and Observability (3rd), IT Operations Analytics (2nd), Mobile APM (1st), Container Monitoring (3rd)
 

Mindshare comparison

As of June 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 3.1%, 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.
Gyanesh Rahatekar - PeerSpot reviewer
Application performance management and error resolution improved with data-driven insights
Dynatrace has multiple functions compared to Splunk AppDynamics, so Splunk AppDynamics should add those functions, which are not available as of now. Dynatrace has a universal agent that collects all information related to their CI, and if one CI has multiple languages, then there is no need to instrument multiple agents. However, Splunk AppDynamics requires multiple agents; if I have one server with multiple applications in different languages, then I need to instrument different agents for each application. Splunk AppDynamics should work with Dynatrace with one single universal agent that works with all application languages, eliminating the need for multiple implementations.
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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
24%
Computer Software Company
18%
Manufacturing Company
10%
Insurance Company
6%
Educational Organization
34%
Financial Services Firm
20%
Computer Software Company
11%
Manufacturing Company
6%
 

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.
What is your experience regarding pricing and costs for BigPanda?
The pricing for BigPanda is reasonable compared to other event management tools, given its advantages.
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: June 2025.
856,873 professionals have used our research since 2012.