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 most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"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 solution is user-friendly and has good performance and certification."
"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 useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"Transparency and visibility into application performance, errors, incidents, etc. helps to foster a collaborative environment."
"It is limitless when it comes down to being able to scale up or even scale back, if we need it to."
"Dynatrace is a powerful tool for full stack monitoring with APM capabilities and AI root cause problem analysis. This helps our customers with their digital transformation and gaining insight into their infrastructure."
"The visibility that it provides is most valuable."
"We like the alerting feature. For example, my applications are going out on some thresholds. So I get alerts, according to the thresholds I set. I get that data via emails as notifications."
"Gives me the ability to identify user browsers, user geographical location."
"It has helped us by reducing the number of incidents that we have had in the past."
"End-to-end visibility of the applications, since we have them instrumented. Understanding where the hotspots are in the applications."
"Lacks sufficient dashboard features."
"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."
"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."
"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."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"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."
"I think at times AppMon has given some folks some headaches from a configuration standpoint, and a maintenance standpoint, but aside from that I don't think they've really had many headaches with it."
"We're not quite there yet, but the thing I would like to see is to really have that view of how issues relate to the business. Often enough, the tools that IT have for IT stop at the IT level. They cannot go into the business level part. They can't understand, because they don't have the information that the business needs to provide them with - for example how much an hour of downtime costs the business. For us, in IT, it's an hour of downtime, but it equates to money and equates to hours lost and equates to a lot of things, and often enough we don't have that information. This is where I would like to see us going."
"The messaging layer is not really capturable and measurable right now."
"It often produces "false alarms" and cannot identify failure patterns over days/weeks that do not indicate concern."
"I would like to see income monitoring for the servers and infrastructure monitoring."
"Waiting for the session replay needs improvement."
"There should be more visibility for network performance monitoring. There should be more metrics for things like 5G and IoT. That would be the main thing because they've moved more to mobile performance rather than fixed networks."
"I was hands on in the setup of the solution. Initially, it seemed a little daunting."
BigPanda is ranked 13th in AIOps with 12 reviews while Dynatrace is ranked 2nd in AIOps with 340 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, IBM Tivoli NetCool OMNIbus and SolarWinds NPM, 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