We performed a comparison between New Relic and Elastic Observability based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Users prefer Elastic Observability over New Relic due to its comprehensive visualization and metrics, better control over backend calls, and AI integration, including simple-to-use machine learning. Despite its straightforward setup, users suggest that New Relic could improve error debugging, correlation with logs, historical data retention, and AI and machine learning capabilities.
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The architecture and system's stability are simple."
"The most valuable feature of Elastic Observability is the text search."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"We can view and connect different sources to the dashboard using it."
"It's easy to deploy, and it's very flexible."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"It has always been a stable solution."
"Sometimes, I monitor the user's time of response and use this information to improve the number of servers on the back-end. Or, I can use it to change my back log for front-end developers and improve their response times. It's very important in this case because I can improve the experience of the final user."
"It allows the restriction of privileges and control of users."
"The alert mechanism is quite accurate when something goes wrong in your system. For example, if you have hundreds of APIs on your server, and any of the APIs is not performing well, you get an alert. When there is a drop or change in the threshold value, the beauty of New Relic is that within a fraction of seconds, all the stakeholders who are configured in the New Relic system will get an alert. That's one good thing."
"It is stable and scalable."
"The solution is scalable, and it is easy because all the documentation is available."
"We like the performance of the product."
"The pricing is pretty good."
"As soon as it monitors all our systems and is integrated with PagerDuty, the operations team just needs to wait for alerts on their cellphones to fix things."
"The price is the only issue in the solution. It can be made better and cheaper."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability needs to have better standardization, logging, and schema."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"The APIs could be better. I would also like more APIs and features to integrate with streaming solutions, like Kinesis or Kafka."
"They don't have an opportunity to share the dashboard with the public. If you want to share it with stakeholders or people outside the organization who just want to have a look at a couple of metrics, you can't do that without onboarding them to the product itself."
"New Relic APM could improve error debugging and the correlation with the logs. We are receiving some alerts or alarms but we need to correlate with the error log, but it is difficult if it is more than seven months retention period, it is hard to trace. We need this especially for getting historical information."
"There are certain features that are not supported in New Relic, such as CATSEARCH, which allows you to do a full-text search."
"I think that there have been some questionable product enhancements. Over a year ago, New Relic rolled out a new navigation that really disrupted our workflow."
"The solution only supports the cloud platform and not on-premises."
"New Relic APM is a good tool, and it has a database of failures, but it could use a list of customer-specific failures. New Relic APM should be able to give my company advanced analytics through AI."
"The solution could improve by having more network monitoring features, such as for all the infrastructure."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 152 reviews. Elastic Observability is rated 7.8, while New Relic is rated 8.6. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". 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". Elastic Observability is most compared with Dynatrace, AppDynamics, Azure Monitor, Datadog and Sentry, whereas New Relic is most compared with Dynatrace, Datadog, Grafana, Prometheus and Azure Monitor. See our Elastic Observability vs. New Relic report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best IT Infrastructure Monitoring vendors, and best Cloud Monitoring Software 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.
