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."A user-friendly solution."
"Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"The best of a bad lot was the error message deduping."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"The solution is user-friendly and has good performance and certification."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"One of the features that sets this product apart from its competitors is that it generates a solution."
"It has improved our critical incident response, exposing critical issues impacting the environment and our ability to respond to those events prior to client impact as well as resolving those events more quickly. We have use cases where we have studied a 70 percent improvement for response times in an occurring event as well as future reoccurrences being improved."
"I have never been more confident in a tool's scalability because I've seen how easy it is for it to deal with the .NET Applets."
"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."
"It has created total transparency between technology and business on all aspects of systems and performance as well as being a proxy for network performance through user experience monitoring. This followed a major performance degradation of our primary frontline system, which highlighted inadequacy of infrastructure focus tools, e.g., Nagios and Zabbix. It helped detect and remediate several performance issues on systems on both vendor supplied packages as well as in-house developed systems. It also improved InfraOps and development teams understanding of system behaviour and performance characteristics."
"Since things are getting more complicated, it is nice to have artificial intelligence to correlate issues and events to come up with root cause."
"Being able to get down to the individual code level to see where transactions are taking time. It has helped troubleshoot issues immensely and other tools can't provide this."
"One aspect of development is the concept of continuous improvements. There are key screens in our applications. We get identification, through Dynatrace on its own, that these are our top ten slow preforming screens."
"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 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."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"The solution could improve by having better integration."
"Network monitoring is lacking and could be improved."
"Its infra monitoring is not that good. They are mainly into the APM environment, such as network monitoring and other things. Strong end-to-end infrastructure monitoring is missing. SNMP monitoring is currently not very good in this solution."
"It would be great to have Synthetic automatically retrieve what the customer sees on his side."
"I need more experience."
"Documentation could be improved. E.g., you don't know how to properly use Dynatrace because documentation is almost lacking behind the features being deployed."
"It can be improved in narrowing the exact exception/ERROR in application monitoring."
"Make it easier to define applications. E.g., provide an API for applications defined by REST services."
"Sometimes we get incidences during the US morning when we are not at the office. If I can get the benefit of a solution, which can alert us and solve itself. It is an automation thing where we do not want to wake up late at night and work on the application."
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, PagerDuty Operations Cloud, ServiceNow IT Operations Management and Datadog, 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