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.
"The single dashboard is a valuable feature."
"We can manage the entire system across the network and troubleshoot the pain points."
"Datadog has given us near-live visibility across our entire cloud platform."
"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"The tool's deployment is easy."
"The most valuable features are the dashboards and the reporting."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"The dashboards and the performance of the software have been great."
"It is stable and scalable."
"It is easier to create new dashboards in the New Relic interface, and it is also easier to query if when I want to monitor a different parameter or time duration on my dashboard."
"It is a software solution as a service, so I don't have to manage it on-premise."
"We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time."
"It has the ability to monitor random URLs not tied to the one pinger per application (though it costs extra)."
"The most valuable feature of New Relic APM is the dashboard, New Relic Insights. I configured my own dashboard to monitor certain parameters."
"The service maps that it creates, the health maps that it creates, the insights that it provides, etc., are all quite useful."
"New Relic's dashboard is nice, and it's reliable. It's also compatible with many services, especially Java and the Python ecosystem."
"The technical support needs improvement."
"The Wi-Fi side needs improvement."
"I've found that the documentation is lacking in certain regards."
"I'd like to see better pricing and more integration in the next release."
"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together."
"I would like better navigability across pages."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"One thing we have run into is that it is so easy to add monitoring that we turn on things without really understanding the costs."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"We would like to see smaller or shorter tutorials and video sessions."
"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."
"There were some settings we had issues with."
"There are certain features that are not supported in New Relic, such as CATSEARCH, which allows you to do a full-text search."
"The scalability can be improved."
"There are times when you restart the engines and the servers have a unique ID for the host and you need to remove the server. It is difficult because some are on-premise and others are production hosts. Having downtime is not very good when updating. However, it is not a constant issue."
"It gives you amazing statistics, but doesn’t give you enough information about what to do with the statistics."
"It is very difficult to award the service level cycles at an endpoint level."
"The product has good documentation for Linux, however, their documentation for Windows is lacking substantially. It's something they need to develop."
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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