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."
"With Datadog I can look at the health of the technology stack and services."
"The most valuable features are the dashboards and the reporting."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"Datadog dashboards are pretty great."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"I have found the logging and tracing features the most valuable."
"The solution has helped our organization with custom events to track specific cases."
"The ease of correcting these dashboards and widgets when needed is amazing."
"What I like best about New Relic APM is its user interface because it's simple. The most valuable feature of New Relic APM is end-to-end monitoring."
"Working with the solution is very easy. It's user-friendly."
"The most valuable feature is the New Relic APM module to deep-dive into the application, to get bottlenecks to the surface, and to improve application performance. Also, the New Relic Insights module creates a real-time dashboard on application performance to create awareness for the DevOps team."
"The solution offers good documentation."
"The most valuable feature is the ability to manage the application flow."
"It allows the restriction of privileges and control of users."
"The feature I found most valuable is being able to design my queries. It's easy to design a query."
"The most valuable feature is the ability to receive in-depth information about applications. It can detect a lot of important information."
"The Wi-Fi side needs improvement."
"I think better access to their engineers when we have a problem could be better."
"I often have issues with the UI in my browser."
"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."
"Geo-data is also something very critical that we hope to see in the future."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"We need more visibility into the error tracking dashboard."
"One thing I'd like to see in any APM, especially New Relic, is the ability to use distributed transactions. When one microservice calls another, it calls another database and microservice. The entire data visualization layer will not be able to correlate from one microservice from end to end and return on that path. Distributed transactions would be a great addition that would make life simpler. Unfortunately, no APM has that end-to-end capability."
"I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment."
"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."
"The solution should include more detailed reports for SQL database requests."
"The APIs could be better. I would also like more APIs and features to integrate with streaming solutions, like Kinesis or Kafka."
"The solution must provide better support for Azure Web Apps service."
"In the next release, I'd like to see a better pricing structure."
"It gives you amazing statistics, but doesn’t give you enough information about what to do with the statistics."
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