We performed a comparison between Datadog and New Relic APM based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: New Relic has a slight edge in this comparison. According to its reviewers, it is easier to set up and more reasonably priced than Datadog.
"Datadog has given us near-live visibility across our entire cloud platform."
"We find they have a very helpful alert system."
"The ability to send notifications based on metadata from the monitor is helpful."
"Straightforward to integrate and automate."
"Datadog is easy to use and easy to deploy. It's a better solution compared to others on the market in terms of being budget friendly for our customers."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"Its logs are most valuable."
"Working with the solution is very easy. It's user-friendly."
"The most valuable feature is application monitoring."
"The simplicity of the dashboard is very good."
"The monitoring so far has been good and we are happy with it."
"The alert mechanism is quite accurate when something goes wrong in your system. For example, if you have hundreds of APIs on your server, and any of the APIs is not performing well, you get an alert. When there is a drop or change in the threshold value, the beauty of New Relic is that within a fraction of seconds, all the stakeholders who are configured in the New Relic system will get an alert. That's one good thing."
"The stability of New Relic APM is very good."
"The breakdown of the response time of different components and getting in-depth details of the slow component are the most valuable features. It is easy to use, and it gets the job done."
"We like the performance of the product."
"Lacks some flexibility in the customization."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"The setup was a bit complex."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"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."
"It would be nice if there were pre-made dashboards."
"They should bring the pricing down to be more competitive."
"One thing that we noticed was that historical information was only for a limited period, which was not helpful in certain scenarios. For example, if I want to size my system for an event for New Year or Christmas season based on the historical data, I won't be able to find the historical data. Currently, the data is limited to three months. It would be helpful if they can provide historical data for a longer duration so that we can plan our system accordingly."
"We would like a dashboard feature to be created for this product. This would allow us to monitor both the front and back-end of our UIs performance, and then report on it."
"How granular I could go down at looking at certain data, especially related to the operations, is limited."
"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."
"New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."
Datadog is ranked 2nd in Application Performance Management (APM) with 34 reviews while New Relic APM is ranked 4th in Application Performance Management (APM) with 13 reviews. Datadog is rated 8.6, while New Relic APM is rated 8.4. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of New Relic APM writes "Provides a complete picture of what's happening and has an accurate alert mechanism". Datadog is most compared with Dynatrace, Azure Monitor, Splunk, Amazon CloudWatch and Elastic Security, whereas New Relic APM is most compared with Dynatrace, Azure Monitor, Splunk, AppDynamics and AWS X-Ray. See our Datadog vs. New Relic APM report.
See our list of best Application Performance Management (APM) vendors.
We monitor all Application Performance Management (APM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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