We performed a comparison between BigPanda and Dynatrace based on real PeerSpot user reviews.
Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"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."
"The program is very stable."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"The solution is user-friendly and has good performance and certification."
"The most valuable feature is the 360-degree view for monitoring, infrastructure, and application worlds."
"It eases the investigation process (faster feedback loop with clients), better pro-activity on possible outages (in order to avoid outages), and eases the process of fine tuning allocation of resources to processes."
"The UEM feature, User Experience Management: Understanding how users are perceiving the application and then connecting that back into back-end systems to understand why things have gotten slow and then dealing with things."
"Working with the user interface is a pleasure for any customer since it is fast, responsive, and very well designed."
"Since we moved to OneAgent, we are much quicker to address live incidents and problems that occur in our systems."
"UEM (RUM): User Experience Management (real user monitoring) puts you in "user's seat" and gives you insight into how they experience the application. Often, this gives a totally different view than just watching the backend calls."
"Since things are getting more complicated, it is nice to have artificial intelligence to correlate issues and events to come up with root cause."
"It is very stable and reliable."
"BigPanda attempts a little of everything and fails at most."
"The cost of this product is too high compared to New Relic."
"Lacks sufficient dashboard features."
"We had to use a partner for the deployment."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"The usability needs to improve, because it is a pure code environment."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"The solution could improve by having better integration."
"I am unable to use Synthetic to automate user login."
"Right now, for AppMon, the maximum handling load, the transaction per minute, is around 6,500. We had an issue on Black Friday or Cyber Monday, some kind of stability issue for users who could not log in. I want to see an increase in the load, at least to 7,000 or 8,000 transactions per second"
"The real complexity that I've seen with Dynatrace is to learn how to navigate through all the options in the troubleshooting process. We have a lot of ways to evaluate the same problem. We had some difficulties in the beginning with the use of the product, but after some time and some experience we have overcome this problem."
"Our primary wish list for RFEs or feature requests are additional integration options with ticketing systems. Although, we are able to work around it, 'ticketing' is not a core function of the product."
"The integration between the web monitoring of Dynatrace and OneAgent. "
"We are happy with the server monitoring, but we feel like the application monitoring should be improved."
"Configuring nodes and agents should be more like plug and play."
"There is another challenge, which is in case of the Managed solution. In our old solution we could simply export the data as session data, and that would be imported and seen. Now, if we are using the Managed solution, then giving someone access to that solution is a challenge. We can handle it, but it's different than taking screenshots and saving that information the way we used to. The copy/paste features that were there in old application - because it was a fat app - were nice, compared to browser-based app, because you cannot really use those features anymore."
BigPanda is ranked 15th in AIOps with 12 reviews while Dynatrace is ranked 2nd in AIOps with 342 reviews. BigPanda is rated 7.2, while Dynatrace is rated 8.8. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". On the other hand, the top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". BigPanda is most compared with ServiceNow, Moogsoft, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and Zabbix, whereas Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor. See our BigPanda vs. Dynatrace report.
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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!
We are currently going through a paper-based analysis to select an Enterprise APM solution.
Our Contenders are
1. Dynatrace
2. Cisco(AppDynamics)
3. Broadcom DX-APM
Shortlisted based on existing relationships with other products and services they provide.
We discounted New Relic- despite their growing capability - as they are yet to enter the enterprise APM solution scene.
With regards to your response "We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing .." :
Will you be willing to expand on Appd - what was your experience and issues w.r.t licensing. These could help us with our evaluation. Much appreciated. Regards Adrian
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.
Thanks