We performed a comparison between Datadog and New Relic based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog offers valuable features like dashboards, reporting, error reporting, log centralization, ease of use and setup, logs and analysis, user-friendliness for development teams, and interface and integrations. New Relic is known for its in-depth application information, monitoring capabilities, performance, scalability, and user-friendly interface. Datadog can improve in areas such as usability, integration, user interfaces, learning curve, monitoring external websites and SSL security, complex setup, security features, managing organizational structure, customization flexibility, deploying agents, and network monitoring. New Relic can improve in areas such as simplifying server removal, adding network monitoring features, providing detailed troubleshooting information, supporting on-premises licensing, extending the data retention period, and creating a dashboard for front-end and back-end performance monitoring.
Service and Support: Datadog's customer service is highly regarded for its availability and promptness, although there have been some instances of slow or unresponsive support in the Asia-Pacific region. New Relic's customer service has received mixed feedback, with some users praising its efficiency while others have experienced slow response times.
Ease of Deployment: Users have generally found the initial setup for Datadog to be easy and straightforward, although a few found it slightly complex and needed some adjustments. Integration with other applications and platforms was smooth. The initial setup for New Relic is described as simple and not overly difficult. Some users opted for professional services to aid them with the setup process.
Pricing: Some users perceive Datadog's pricing as costly, while others find it reasonable but perplexing. New Relic's pricing is generally regarded as expensive, although a few users deem it acceptable when compared to competitors.
ROI: Users have provided diverse feedback on Datadog's ROI. They have praised its ability to save time, uncover blind spots, and capture incidents. Opinions on New Relic's ROI are more divided, with some users expressing positive experiences while others remain uncertain.
Comparison Results: Datadog is the preferred choice over New Relic. Users find Datadog's initial setup to be easy, straightforward, and efficient. Datadog offers a wider range of features, including error reporting and log centralization, and is considered more user-friendly for development teams. It also provides flexibility with AI and ML capabilities. Users appreciate the helpful and responsive customer service.
"We can manage the entire system across the network and troubleshoot the pain points."
"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."
"Datadog's log aggregation is really helpful since it lets me and every other engineer on my team login, view, and share logs when we need to debug our application."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"Excellent autocomplete for everything in the UI."
"The initial setup is very straightforward."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"The observability pipelines are the most valuable aspect of the solution."
"We find they have a very helpful alert system."
"The most valuable feature of New Relic is its ease of use."
"We are able to drill down and see what is going on in the system."
"We detect issues using dashboards that we built on New Relic."
"It has the ability to monitor random URLs not tied to the one pinger per application (though it costs extra)."
"The most valuable feature is application monitoring."
"The most valuable features are infrastructure monitoring and application performance monitoring (APM)."
"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."
"There are many valuable features in New Relic APM. We developed some software applications and we are able to monitor the errors very easily. Their log security retention is very good."
"The Wi-Fi side needs improvement."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"I'm not sure what kind of features are in the roadmap right now, but I encourage the development of features for defining your organization, and allowing the visibility of what kind of metrics you can get. Those features would be really useful for us."
"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."
"We need more integration functionality, including certain metrics integration."
"While I like the ease of use, when compared with Tenable Nessus they could still improve their usability."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"They could have better log reporting."
"The solution should provide alerts for cloud outages."
"The solution does not provide input on how the page performs in a big group. It just says that the page performance is bad, but it does not say what can be done to improve it. If they could provide some insight or guidance on how to make improvements, that would be a big help."
"The solution only supports the cloud platform and not on-premises."
"Some of our customers see New Relic as a promising product to have, and we would like to deliver it to them. The only way we would be able to do that would be if we had server appliance for clients that we could install in their data centres."
"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."
"It gives you amazing statistics, but doesn’t give you enough information about what to do with the statistics."
"The solution should include more detailed reports for SQL database requests."
"New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."
"It would help customers if there were an on-premises version available."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 152 reviews. Datadog is rated 8.6, while New Relic is rated 8.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". 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". Datadog is most compared with Dynatrace, Azure Monitor, AWS X-Ray, Elastic Observability and AppDynamics, whereas New Relic is most compared with Dynatrace, Elastic Observability, Grafana, Prometheus and Azure Monitor. See our Datadog vs. New Relic report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Network Monitoring Software vendors, and best IT Infrastructure Monitoring vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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