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AppDynamics Server Monitoring vs BigPanda comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024
 

Categories and Ranking

AppDynamics Server Monitoring
Ranking in IT Infrastructure Monitoring
15th
Average Rating
8.2
Number of Reviews
20
Ranking in other categories
No ranking in other categories
BigPanda
Ranking in IT Infrastructure Monitoring
54th
Average Rating
7.2
Number of Reviews
12
Ranking in other categories
IT Alerting and Incident Management (12th), AIOps (18th)
 

Mindshare comparison

As of November 2024, in the IT Infrastructure Monitoring category, the mindshare of AppDynamics Server Monitoring is 0.6%, up from 0.6% compared to the previous year. The mindshare of BigPanda is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring
 

Featured Reviews

Rahul -Jain - PeerSpot reviewer
Aug 6, 2024
User-friendly and provides good response time from the end-to-end server
We are not using the alerts as we have different mechanisms called resilience testing or kiosk testing. The DevOps team uses the alerts. During production, they will get alerts when they see the CPU utilization going beyond the 60% or 70% benchmark they have set. AppDynamics and Dynatrace are the only two tools that provide accurate or stable end-to-end response time. These two tools can show you everything that's going on from the back end. If we are doing performance testing or any testing, these two tools can provide us with every detail about what's happening in the back end from the server side that we can't see. Overall, I rate the solution a nine out of ten.
Ankit-Mathur - PeerSpot reviewer
Mar 23, 2024
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.

Quotes from Members

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

Pros

"This solution gives us quite good insights that we might otherwise overlook, or it might take a really long time to debug those issues."
"The solution's most valuable feature is the response time from the end-to-end server."
"The platform is reliable in identifying the core system issues."
"The event alerting feature or the trigger system is what I like most about AppDynamics Server Monitoring. Whenever an issue occurs, the tool automatically generates an even trigger that tells engineers in the company to take action, so it's an essential feature of AppDynamics Server Monitoring. Another valuable feature of the tool is end-to-end monitoring, which means if you need to debug, you can go transaction by transaction, where the issue lies, and how it's linked. For example, if it's a low-performance issue, you can look into it more through AppDynamics Server Monitoring in terms of which area takes too much time to execute. You can also see the SQL queries and the kind of query going on through the tool."
"We can view the server activities, including issues in the process, with a single click."
"I like Business iQ the most, so far. It has great analytics configurations and I can get real-time updates. We have eCommerce releases every week. So the one use case that I use Business iQ is to compare before and after release performance using AppDynamics."
"The solution's most valuable features are its end-user monitoring and AI functionalities."
"The auto-discovery of the logs is the most valuable feature. It requires minimal configuration, we just need to set up on once and it automatically detects through the code."
"A user-friendly solution."
"The best of a bad lot was the error message deduping."
"The main thing that we like about BigPanda is the user interface."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The program is very stable."
"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."
"BigPanda integrates well with other solutions, such as WatchGuard,"
 

Cons

"Things are being done differently in the industry now, and many of these problems are being solved with cloud databases."
"AppDynamics Server Monitoring lacks investment in new technologies like Kubernetes and cloud solutions."
"AppDynamics Server Monitoring has room for improvement in terms of pricing. If the price could be cheaper, it would be great for both the customer and the integrator. What I'd like to see in the next release of AppDynamics Server Monitoring is a better dashboard for the customer. The dashboard should be more interactive."
"The solution has performance issues after we deploy the agent."
"The solution's pricing could be improved and made more competitive."
"I could not find a user-friendly interface for querying, and analytics sometimes gives the wrong results...I feel that analytics could have been better in searching and running the analytical queries."
"The product’s dashboard could be more easy to implement."
"The solution could be more mobile friendly."
"BigPanda attempts a little of everything and fails at most."
"The solution could improve by having better integration."
"We had to use a partner for the deployment."
"Lacks sufficient dashboard features."
"The usability needs to improve, because it is a pure code environment."
"The cost of this product is too high compared to New Relic."
"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 UI for this solution could be improved. It is very hard to find what you are looking for."
 

Pricing and Cost Advice

"AppDynamics Server Monitoring is an expensive solution."
"The pricing for AppDynamics Server Monitoring in Africa and the Middle East is too expensive, so it's very hard to sell it to customers. If there could be different pricing or package for the region, that would be great. My company pays for the license of AppDynamics Server Monitoring on a per-agent, per-server basis. It's $700 to $1000 per server, and it's paid annually. My company is on a subscription model for the solution. On a scale of one to five, where one is expensive and five is cheap, my rating for the price of AppDynamics Server Monitoring is a two."
"The solution has a high cost."
"My understanding is that the price of this solution is quite high, compared to other products."
"AppDynamics Server Monitoring is an expensive solution."
"The licensing cost is fairly high"
"AppDynamics Server Monitoring is a very expensive product, but if you negotiate well, you get value for money...My company used to make early payments toward the licensing costs of the solution, but now my company has opted for a different licensing model."
"The tool is expensive."
"We pay $200,000 USD per year."
"The price of BigPanda is in the middle compared to other solutions."
"BigPanda is cheaper than the competitors."
"They were great to work with on pricing/licensing. Given we are a high-growth company, we needed a flexible site license."
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Computer Software Company
21%
Manufacturing Company
6%
Government
5%
Financial Services Firm
23%
Computer Software Company
18%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about AppDynamics Server Monitoring?
The platform is reliable in identifying the core system issues.
What is your experience regarding pricing and costs for AppDynamics Server Monitoring?
AppDynamics Server Monitoring is an expensive solution. The solution costs 5,000 per user.
What needs improvement with AppDynamics Server Monitoring?
The solution's pricing could be improved and made more competitive.
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.
 

Learn More

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Overview

 

Sample Customers

Sony, DirecTV, UBS, The Container Store, The Neta Porter Group, Nasdaq, Cisco, eHarmony, Hallmark, Overstock, Expedia
Nagios, ServiceNow, ITSM, NOC, CMDB Evolved, RemedyIncident Management Process
Find out what your peers are saying about AppDynamics Server Monitoring vs. BigPanda and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.