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 single dashboard is a valuable feature."
"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."
"The feature I have found most valuable is when I can reuse existing monitors and alerts for new dashboards."
"The solution has helped our organization with custom events to track specific cases."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"The RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."
"The most valuable aspect is for us to have everything in one place."
"It has a nice UI."
"The solution has helped out organization gain improved visibility."
"The stability of New Relic APM is very good."
"The solution is good for sending alerts, drawing graphs about system usage, and creating plug-ins."
"The most valuable feature is the ability to manage the application flow."
"The synthetic alert is the most valuable feature in New Relic APM. I also like the time travel feature and find traceability useful in the solution. New Relic APM also has good response times."
"It is a software solution as a service, so I don't have to manage it on-premise."
"The versatility of the solution is its most valuable feature."
"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."
"We detect issues using dashboards that we built on New Relic."
"The Wi-Fi side needs improvement."
"The technical support needs improvement."
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"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."
"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"The real issue with this product is cost control."
"The product could do better with its notifications."
"I would like to see the company implement the AI auto-baseline feature which Dynatrace has."
"They need to improve the alerting and dashboarding as these are the key features in DevOps."
"It would be nice if there were pre-made dashboards."
"It is a serious tool and requires a lot of time invested in order to understand how it works."
"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."
"The solution is quite expensive."
"The UX/UI design of New Relic APM could be improved. The solution currently has some slow pages in terms of loading and viewing the pages, for example, the reports. The reports and other pages take a long time to load."
"We have had issues with our agents going offline."
More Juniper Mist Premium Analytics Pricing and Cost Advice →
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