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 most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"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."
"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 best of a bad lot was the error message deduping."
"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."
"A user-friendly solution."
"What I like best about New Relic APM is its user interface because it's simple. The most valuable feature of New Relic APM is end-to-end monitoring."
"It allows the restriction of privileges and control of users."
"It has prevented failures from occurring in our production environment."
"The synthetics, alerts, and native inbuilt capabilities for monitoring the cloud with the New Relic agents have been helpful."
"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."
"They instrument up from the bottom to the top – every piece of code - they have a very perfect read of what’s being done, and how long it’s taking."
"You don't have to go through a list of 500 servers."
"It gives insights to non-technical people about what technical issues are most important, how much it impacts customers, and potentially, where we should be targeting our development teams when they have time."
"We had to use a partner for the deployment."
"BigPanda attempts a little of everything and fails at most."
"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."
"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 solution could improve by having better integration."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"Lacks sufficient dashboard features."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment."
"The price needs improvement."
"The solution only supports the cloud platform and not on-premises."
"New Relic APM is a good tool, and it has a database of failures, but it could use a list of customer-specific failures. New Relic APM should be able to give my company advanced analytics through AI."
"The deployment process could be improved."
"They should bring the pricing down to be more competitive."
"The product has good documentation for Linux, however, their documentation for Windows is lacking substantially. It's something they need to develop."
"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."
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, 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 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