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."The main thing that we like about BigPanda is the user interface."
"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."
"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 best of a bad lot was the error message deduping."
"The program is very stable."
"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 useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"Since we have been receiving alerts from Dynatrace, we go ahead and fix them without the user knowing about them."
"End-to-end visibility of the applications, since we have them instrumented. Understanding where the hotspots are in the applications."
"We are not blind anymore with our digital services performance; no more fire fighting."
"Mean time to root cause analysis decreased drastically."
"The ability to real-time monitor servers and databases without any major drain on application resources is invaluable."
"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."
"We know exactly which line, which method, and which program needs fixing, so we directly go to the right developer and the guy comes in fixes it."
"It is much easier to deploy, maintain, and delivery of high value insights, which almost immediately lowers the mean time to value and resolution of issues."
"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."
"Lacks sufficient dashboard features."
"The cost of this product is too high compared to New Relic."
"BigPanda attempts a little of everything and fails at most."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"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 solution could improve by having better integration."
"I would suggest to have more rich client features on Appmon as soon as possible."
"The new Managed Edition is too complex. I feel like a fish out of water."
"Make the Web UI more robust. Last time I used the web interface, it was still pretty crude."
"Include network monitoring in more detail for deep dive analytics of network components."
"A role-based view and a Python monitoring tool would make a simple user interface more usable."
"DevOps plugin monitoring tools need improvement."
"The business use case is that most people want to see how many orders came in. I'd like to be able to get data out of JavaScript tags, and capture more data. I think that would make it much more useful, rather than using Google Analytics. Instead, have one tool to capture all the stack, that would make it easy."
"The extending of Dynatrace with plugins can be better."
BigPanda is ranked 15th in AIOps with 12 reviews while Dynatrace is ranked 2nd in AIOps with 341 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 Splunk ITSI (IT Service Intelligence), whereas Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor. See our BigPanda vs. Dynatrace report.
See our list of best AIOps vendors.
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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