

New Relic and Prometheus compete in the application performance monitoring category. New Relic seems to have the upper hand due to its continuous innovation in integrations and user-focused enhancements, offering more versatility and ease of use.
Features: New Relic provides comprehensive application performance monitoring with real-time monitoring, crash detection, and seamless integration with services like PagerDuty. Its easy-to-use query language enhances user experience. Prometheus offers a robust monitoring solution praised for its scraping mechanism and open-source nature, allowing full customization, powerful metric collection, and scalability.
Room for Improvement: New Relic could improve its pricing model, which some find complicated and costly for smaller teams, along with enhancing integration with cloud services and providing better documentation. Prometheus lacks user-friendly interfaces, comprehensive documentation, and streamlined setup and querying processes.
Ease of Deployment and Customer Service: New Relic is favored for its cloud deployment versatility, with reliable support despite occasional delays. Prometheus, while offering deployment flexibility, lacks the customer support infrastructure seen with New Relic, which might concern organizations needing assured support.
Pricing and ROI: New Relic's pricing is considered high but is often justified by its rich features and fast support. It is praised for detailed monitoring reports and ROI from performance improvements. Prometheus, as an open-source solution, is cost-effective, offering high ROI through invaluable monitoring capabilities with fewer upfront costs.
There is return on investment because since we reduced the downtime, we can definitely save a lot of money within that period.
There is a definite return on investment for New Relic, as we would not have invested in building its infrastructure if there were no returns.
After implementing New Relic, we have decreased staffing requirements while saving time and money.
Using open-source Prometheus saves me money compared to AWS native services.
If I drop an email to them, they will respond quickly to my email.
Customer support from New Relic is very good, and we rarely need to create support tickets.
They are very polite and helped him out.
Prometheus does not offer traditional technical support.
We currently use New Relic for tens of thousands of developers and hundreds of teams within our organization, and we have not encountered any scalability issues.
It is also suitable for cloud native architectures, SaaS, or software as a service, and for high volume data ingestion also.
Regarding New Relic's scalability, it excels at the enterprise level for cloud integrations that can utilize tags.
Prometheus is scalable, with a rating of ten out of ten.
New Relic lags sometimes.
New Relic is stable based on my experience, as I have not seen any problems with the UI.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Because of the pricing model, organizations have experienced uncontrolled costs and were not able to afford New Relic.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
My experience with pricing, setup cost, and licensing for synthetic monitoring is that minions used to cost a lot.
Prometheus is cost-effective for me as it is free.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
New Relic is very useful for teams that don't have much of a dedicated DevOps team but want to have observability for their platform, and it's an easy way to get started.
New Relic has positively impacted our organization by reducing errors, improving performance, and saving time.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
| Product | Mindshare (%) |
|---|---|
| New Relic | 4.0% |
| Dynatrace | 6.0% |
| Datadog | 5.2% |
| Other | 84.8% |
| Product | Mindshare (%) |
|---|---|
| Prometheus-AI Platform | 1.7% |
| IBM Maximo | 15.2% |
| Oracle Enterprise Asset Management | 8.5% |
| Other | 74.6% |


| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 77 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
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