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."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."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"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."
"The solution is user-friendly and has good performance and certification."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"It has helped my organization to dive deeper into the application using the APM module is very helpful."
"We were able to integrate with the messaging tool, Slack, which meant that we got notifications whenever something was not quite right."
"The most valuable feature of New Relic APM is the dashboard, New Relic Insights. I configured my own dashboard to monitor certain parameters."
"It has prevented failures from occurring in our production environment."
"End-user Synthetics and monitoring are very good."
"It has given us better insight into the performance of the system."
"The most valuable feature is the ability to manage the application flow."
"We like the performance of the product."
"The solution could improve by having better integration."
"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 attempts a little of everything and fails at most."
"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."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"I would like to have storage monitoring. E.g., being able to monitor SANS, specifically protocols, like NFS and CIFS metrics."
"New Relic does enable frontend performance monitoring by default. However, when we are troubleshooting the issue, New Relic is not able to trace back to the service where the issue is. Other solutions, such as Dynatrace are better."
"It would help customers if there were an on-premises version available."
"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 customization of the start and end time is kind of cool."
"Documentation could be improved in New Relic APM, so users would have more clarity on configuring the dashboard. If New Relic gave better guidelines, users would find it easier to understand the metrics and features of New Relic APM. Another area for improvement is integration with Kubernetes. Currently, the process isn't user-friendly. It's challenging and lacks documentation for users to understand how to integrate New Relic APM with Kubernetes quickly. With multiple levels of Kubernetes dockers and other DBs on different clouds, it's tricky to gather all into New Relic APM on a single dashboard. What I'd like to see in the next version of New Relic APM is a single dashboard where you can easily view which applications fall under specific APMs. If there's a search feature where you can type in a keyword to find out if an APM is related to a particular application, that would be great."
"The older view is much better than the new view that they have. We'd like to go back to that previous version. The user interface just isn't as nice as it used to be."
"The solution needs to have staging."
BigPanda is ranked 43rd in IT Infrastructure Monitoring with 12 reviews while New Relic is ranked 5th in IT Infrastructure Monitoring with 152 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, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and PagerDuty Operations Cloud, whereas New Relic is most compared with Dynatrace, Datadog, Elastic Observability, Grafana and Prometheus. 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