

New Relic and Elastic Observability are two robust tools in the observability market. Elastic Observability seems to have the upper hand due to its comprehensive features and perceived value.
Features: New Relic's notable features include detailed application performance monitoring, strong integration capabilities, and customizable dashboards. Elastic Observability is praised for its scalable architecture, powerful search functionalities, and real-time analytics.
Room for Improvement: New Relic users highlight the need for better cost management tools, more granular alerting options, and improved user learning experience. Elastic Observability feedback indicates a need for improved documentation, a more intuitive learning curve, and better onboarding resources.
Ease of Deployment and Customer Service: New Relic's deployment model is noted for its simplicity and speed, complemented by responsive customer service. Elastic Observability is sometimes seen as complex to deploy but valued for its flexibility.
Pricing and ROI: New Relic users often cite higher costs but recognize a strong return on investment. Elastic Observability is seen as more cost-effective yet still delivers substantial long-term value.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
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.
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.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
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.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
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.
New Relic's scalability is good based on my experience, and it can handle my organization's needs as they grow.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
New Relic lags sometimes.
New Relic is stable based on my experience, as I have not seen any problems with the UI.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
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.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
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.
| Product | Market Share (%) |
|---|---|
| New Relic | 4.1% |
| Elastic Observability | 2.6% |
| Other | 93.3% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 71 |
Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.
Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.
What are the most important features of Elastic Observability?Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.
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.
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