We performed a comparison between BigPanda and New Relic based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution is user-friendly and has good performance and certification."
"The best of a bad lot was the error message deduping."
"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."
"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 most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The program is very stable."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"New features are added often."
"New Relic has helped us in terms of the optimizing our print and loading times."
"To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you get the overall response time, which is pretty helpful for developers and ADR techs looking into issues on a deeper level. New Relic APM is a very good, tailor-made solution."
"Every time there is a crisis, high traffic, or if we see a problem with a server, we go to New Relic and monitor it to determine the cause."
"Their technical support is pretty good and responsive. We have a real good relationship with them."
"We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time."
"It has prevented failures from occurring in our production environment."
"The VPN is one of the solution's most valuable features for us."
"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 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."
"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."
"Lacks sufficient dashboard features."
"The cost of this product is too high compared to New Relic."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"BigPanda attempts a little of everything and fails at most."
"I think that there have been some questionable product enhancements. Over a year ago, New Relic rolled out a new navigation that really disrupted our workflow."
"The monitoring is only as good as the alerts that it produces. By having it set up fine grain alerting, it is a bit of a pain."
"In the next release, I'd like to see a better pricing structure."
"I would like an infrastructure network that provides real-time views, showing the issues."
"The connectivity between legacy and newer cloud applications is not great."
"There has been some problem with the agent, and it is just not working well. It is not able to record information with the application server. They have been able to fix the issue, but it took quite a long time. This is the main issue in the APM products and also in New Relic. The mobile application monitoring has been pretty difficult to set up and also quite expensive. It should be a little bit easier and cheaper. Because it is pretty difficult and expensive, many customers don't take it."
"The deployment process could be improved."
"In addition, its difficult to have a predictive tool to see how the application would behave in the future when it basically only shows the historical data."
BigPanda is ranked 40th in IT Infrastructure Monitoring with 12 reviews while New Relic is ranked 5th in IT Infrastructure Monitoring with 151 reviews. BigPanda is rated 7.2, while New Relic is rated 8.6. 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 New Relic writes "Has a simple user interface and end-to-end monitoring and self-healing features". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, IBM Tivoli NetCool OMNIbus and ServiceNow IT Operations Management, whereas New Relic is most compared with Dynatrace, Datadog, Elastic Observability, Grafana and Azure Monitor. See our BigPanda vs. New Relic report.
See our list of best IT Infrastructure Monitoring vendors and 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