New Relic is a SaaS-based web and mobile application performance management provider for the cloud and the datacenter. They provide code-level diagnostics for dedicated infrastructures, the cloud, or hybrid environments and real time monitoring.
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Prometheus
Score 8.2 out of 10
N/A
Prometheus is a service monitoring and time series database, which is open source.
N/A
Pricing
New Relic
Prometheus
Editions & Modules
Free (Forever)
$0
No credit card required; 100 GB free ingest per month, 1 free full user + unlimited basic users, 8 days retention, 100 Synthetics Checks
Telemetry Data Platform
$0.25
per month per extra GB data ingest (after first free 100GB per month)
Incident Intelligence
$0.50
per month per event (after first 1000 free events per month)
Standard
$99
per month per full user (after first free full user - unlimited free basic users)
New Relic has full stack visibility and gives us all options for observability like one stop shop. It gives you front end, backend as well synthetic monitoring capabilities.
Every other feature built into one cost model (usually) which ties to data that you send, it helps you …
New Relic stood out to us primarily because of its all-in one approach, combining APM, infra monitoring, logs and alerts in single platform. Compared to other tools we evaluated, if offered a smoother on boarding experience and required less stitching together of different …
Less expensive than datadog and sentry with almost everything we need. Less effort to set up and maintain than elastic search and kibana so saved a ton on engineering bandwidth which would have otherwise been lost.
Solarwinds was good until they migrated to a new kind of offering and discounting the old product making it more expensive and less flexible for our specific use-case. The free trial also helped me try and get started without needing to commit. I think right now New Relic is the …
New Relic is the easiest to adopt, the price is in line with the other tools, and it has the lowest threshold to cross in order to learn the system and the platform. Adopting OpenTelemetry has been helpful in getting data aligned, and their documentation has been sufficient for …
The New Relic Platform addresses this challenge with the new plugin architecture. Plugins provide a way to monitor each of these technologies, extending the New Relic interface with custom-made dashboards specific to each. They pair the reporting of metrics specific to the …
We selected TrackJS for error monitoring and New Relic for site speed monitoring. TrackJS is a much easier to use tool for JS error monitoring, so we never ended up consolidating tools or moving over to New Relic permanently. We use New Relic for site speed monitoring and …
New Relic is the most full-featured offering that we've found, and is incredibly easy to start using with a PHP app. The New Relic agent is installed as a PHP extension so it is able to monitor and track the performance of any PHP app being run by the web server. Other tools …
New Relic is used by developers and support teams at our organisation - Splunk is used more in security monitoring by our SecOps team - not sure how they might compare doing the same job
The overlap is not large, but the one advantage of the speed curve is retention: data is available permanently, which allows you to investigate the hypothesis with data collected before formulating the hypothesis. This has proven very effective for us.
New Relic's APM is better than Datadog's. It has better traces and dashboards. The Apdex-based alerts are accurate and work predictably even at a large scale. However, New Relic can become expensive as the volume of data ingested grows. Datadog has better dashboards and …
PRTG and Nagios are decent products themselves; however, when compared to New Relic, they fell short on all fronts. New Relic provided a wide variety of features that the other tools didn't provide. Adding\removing devices in New Relic was quite easy and can be done with a few …
New Relic has been DevOps and Developer friendly to onboard and use. Also pricing-wise, it is one of the best in terms of ROI. There are few features better in other APM solutions but New Relic is working on new features faster recently.
New Relic has a native integration with the IaaS service that the company utilizes which made it very easy to set up, integrate, and it also has consolidated billing with that IaaS service which is a big plus for the organization. After evaluating, I also thought it had the …
We selected New Relic since it was very dynamic and versatile to use. It works well in all aspects of monitoring, and observability and would allow having a focus on collaboration with different repeatable processes. Also, New Relic has a good focus on working well with CLI, …
It is easier to setup, but learning curve is quite moderately steep. Prometheus is a best-in-class tool for engineers and SREs in cloud-native environments. When extended with tools like Thanos or Cortex, it can rival commercial platforms in scale and capability—but requires …
As I mentioned earlier, Prometheus had an added advantage that we were able to monitor CPU, RAM, Disk Space, process monitoring which other tools did not provide us Some tools were obsolete, and other were costly when we wanted this good feature , only Prometheus delivered on …
We considered TICK stack as an alternative to our Prometheus/Grafana setup that we have for capturing, storing and visualizing the time series data. But it seemed more complicated to learn and required a separate DB called InfluxDB to be setup. So, after all these considerations, …
The software is very lightweight and can be hosted with minimal resource usage. Many exporters exist for various software. Prometheus has a powerful and flexible query language (PromQL) that allows analyzing your data easy. I use this software with its various exporters, …
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with …
Since Prometheus is free to use and provides all the features we required we went with Prometheus if any feature is missing then we can consider other paid solutions like data dog.
It was easy to implement in our enviroment compared to the other products which has a lot of challenges in the POC period it self. We have been looking for a quick solution as it was implemented during COVID, hence we were trying to take advantage of this software to see how it …
Prometheus was built to monitor CLOUD infrastructure. InfluxDB also has a good design to monitor time series but does not have a design for these demands. InfluxDB would need customization to integrate with Grafana and other third-party solutions. A disadvantage of InfluxDB is …
Both were present in the toolset. Splunk Enterprise was used in more of the log observability tool than the monitoring of the service. Prometheus was used mainly on the server and services monitoring and alerting capability used to have a stable production environment. …
Out of all the products that we did POC, Prometheus was the easiest to integrate the tool with our storage grid on which some of our most business-critical application workflows run. Prometheus was not only able to solve the monitoring problem but also provided a variety of …
The installation of Nagios core is quite difficult and the whole system seems us like a huge headache for us the entire team is not much happy with Nagios core so we take the decision and switch to Prometheus and were really happy with our decision and satisfied.
prometheus brings the power of real-time graphs to the land of open source ( reference included ). It's lightweight and doesn't seem overkill if you're a startup company and do not have a heavy traffic load. Great for starting out on small to mid-scale. as traffic rises, you …
The reason Prometheus stands tall against its competitions is because it is generic. Hence, it can be used to monitor all kinds of services, be it Database, Servers etc. Whereas CloudWatch only monitors over AWS services. Another reason is its huge availability of integrations …
Prometheus is great for quantifiable metrics. Loki is intended for log aggregation. Depending on project a different combination of data source types may be needed. However, quantifiable metrics are predominantly supported by Prometheus. Other data sources like elastic search …
Prometheus is better as a monitoring tool than graphite as graphite is a passive time series database with a query language. Prometheus has a rich data model by capturing metadata with labels which allows for easy filtering and querying. For a clustered solution, graphite maybe …
Prometheus is cheaper, and you can quickly set it up compared to others. It is integrated with most of the open-source monitoring and alerting tools and can help small companies in having a cost-effective solution early in their stage.
I tested out this solution and vetted out a few other solutions as well and ultimately ended up going with Prometheus due to a few specific reasons. Prometheus has a freemium option that allows a company to maintain cash flow while not sacrificing the quality of the product. It …
Prometheus is similar to some of its competitors but delivers with regards to metrics; being used internally by Google and other cloud-native companies like ours gives us the confidence that the alerting industry stakeholders view it as a long-term solution that the community …
We evaluated Datadog and New Relic but cost-wise, these 2 are very expensive. Prometheus does require more leg work to match the feature sets but other than time, the cost is free. Pairing with Grafana, Prometheus can pretty much match features with the big players and still …
If you combine Prometheus with Grafana, what you get is just amazing. it is basically the best ecosystem that I have seen. Grafana just makes those fancy "iron man" kind of dashboards and it just looks so appealing to your eyes. I have implemented NAGIOS core earlier for …
It is perfect for observing our energy platforms during high-load situations, such as grid demand spikes, or our real-time ingest of sensor data, allowing us to respond in real time to anomalies. And it’s a good way to monitor API performance in client dashboards, too. But it’s not as conducive for low-budget/low-code work or deep customization that doesn’t get ample development support given its complexity and expense.
This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.
Capturing Front end Metrics specially web vitals and setting up alerts for violations really helps.
NRQL is great tool to fetch the data you need. With queries you can pull the data and put the data by table or by chart. You can even trend graphs and create dashboards.
Synthetic Monitoring is very helpful for proactive monitoring. You can use it for user journeys by using scripted browser monitor type or just check availability using PING type.
ASk AI is great addition that can fetch details you need with natuaral language
Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
I have not yet found any similar product that offers me this range of features to help us keep our online service fast and reliable. Besides this, New Relic is constantly evolving by adding new plugins to emerging technologies and platforms. Server performance measuring features are a key point as our user database grows.
New Relic helps in observability setup for the critical environments and getting known about the issues and troubleshoot the applications and services. Alerts helps in knowing the abnormal state of the system and services, Dashboards are used for visualizing the key metrics and muting the unwanted notifications and dropping the extra data from the source.
It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.
The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed
The documentation was clear and concise; the only issue we ran into was custom application naming. Due to HTTPD mod_fcgid and the need for the application name to be set in php.ini (not in .htaccess or the virtual host directive) ... we had issues setting this up.
Its covers all the observability aspects as well as giving us more competitive pricing models compared to other providers that's why I like to use New Relic in place of other tools. And also it introduces new Agentic AI features as well as it adopts AI in its RCA. As an observability tool it should reduce the RCA of any problem and New Relic is continuously focusing on that that's why I am preferring New Relic in place of other tools.
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.
The ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.