

New Relic and Prometheus-AI Platform compete in the application performance monitoring (APM) category. New Relic appears more user-friendly due to its ease of adoption and deployment, while Prometheus's open-source flexibility provides customization advantages.
Features: New Relic is known for its comprehensive monitoring capabilities, ease of installation, and deep analytics. It offers robust application performance monitoring, real-time insights, and customizable dashboards, making it ideal for collaborative DevOps environments. Prometheus-AI Platform excels in open-source flexibility and extensive integration capabilities, particularly in Kubernetes environments, allowing for modular, customizable monitoring solutions.
Room for Improvement: New Relic faces criticism over data privacy concerns, complex pricing tiers, and the need for more granular data insights and enhanced mobile application monitoring. Prometheus-AI Platform could improve its user interface, documentation clarity, and visualization tools. Additionally, the setup complexity and query language usability are areas needing enhancement.
Ease of Deployment and Customer Service: New Relic is predominantly utilized in public and hybrid cloud environments and receives favorable feedback for its ease of deployment. Its customer service is highly rated for its responsiveness. Prometheus-AI Platform, used mainly in on-premises and open-source scenarios, requires more technical expertise for deployment. It relies significantly on community support, which is less proactive than New Relic's support.
Pricing and ROI: New Relic offers various pricing models, including a free tier, but is generally perceived as costly, especially as usage scales, raising concerns for smaller companies. Prometheus-AI Platform offers a cost-effective open-source model, which can be beneficial for enterprises but requires investment in human resources for efficient management. Both platforms offer significant ROI by reducing troubleshooting times and improving application performance, though New Relic's higher price point might deter budget-conscious users.
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.
One of the metrics that helped as a return on investment was the ability to detect issues faster and troubleshoot more quickly, which in turn helped to achieve a much better service level agreement with customers.
Using open-source Prometheus saves me money compared to AWS native services.
Customer support from New Relic is very good, and we rarely need to create support tickets.
If I drop an email to them, they will respond quickly to my email.
Issues that could be solved quickly sometimes take longer because they go around in circles.
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.
Prometheus is scalable, with a rating of ten out of ten.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
This helps users who possess a technology-specific skill set and might find a learning curve overwhelming when using complex applications like New Relic or other performance-related tools.
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.
Prometheus is cost-effective for me as it is free.
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.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
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 | Market Share (%) |
|---|---|
| New Relic | 4.1% |
| Dynatrace | 6.6% |
| Datadog | 5.5% |
| Other | 83.8% |
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 1.8% |
| IBM Maximo | 16.0% |
| Oracle Enterprise Asset Management | 7.8% |
| Other | 74.4% |


| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 65 |
| 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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