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."
"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."
"The most useful feature is the APM."
"We've found it most useful for managing Rstudio Workbench, which has its own logs that would not be picked up via Cloudwatch."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"We enjoy the multistep API tests."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The product allows the developer to see the actual problems in the applications."
"The most important thing is that it tells us where the latency in throughput and response time are."
"The most valuable feature is application monitoring."
"The VPN is one of the solution's most valuable features for us."
"We use it for monitoring, identifying when services go down, or when they are outside of what we would consider normal operations."
"It allows the restriction of privileges and control of users."
"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 synthetics, alerts, and native inbuilt capabilities for monitoring the cloud with the New Relic agents have been helpful."
"The Wi-Fi side needs improvement."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"The pricing is a bit confusing."
"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 contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"The logging could be improved in the future."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."
"The monitoring is only as good as the alerts that it produces. By having it set up fine grain alerting, it is a bit of a pain."
"It is very difficult to award the service level cycles at an endpoint level."
"We have had issues with our agents going offline."
"The price could improve."
"New Relic does enable frontend performance monitoring by default. However, when we are troubleshooting the issue, New Relic is not able to trace back to the service where the issue is. Other solutions, such as Dynatrace are better."
"I would like to see the company implement the AI auto-baseline feature which Dynatrace has."
"New Relic APM could improve error debugging and the correlation with the logs. We are receiving some alerts or alarms but we need to correlate with the error log, but it is difficult if it is more than seven months retention period, it is hard to trace. We need this especially for getting historical information."
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 151 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, AppDynamics and Elastic Observability, whereas New Relic is most compared with Dynatrace, Elastic Observability, Grafana, Azure Monitor and Prometheus. 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