We performed a comparison between Elastic Observability and Prometheus based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Elastic Observability offers comprehensive features, machine learning capabilities, and can handle custom development. In contrast, Prometheus lacks user-friendly query language, visualization tools, and customer support, even though it is flexible and has integration capabilities. Elastic Observability is cost-effective and has helped reduce incidents and overheads, while Prometheus is free but lacks some essential features. Ultimately, Elastic Observability is a more complete and economical option for application performance monitoring.
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"Its diverse set of features available on the cloud is of significant importance."
"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."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"Prometheus is a great solution for monitoring."
"The most valuable feature of Prometheus is its ability to collect metrics."
"The product is easy to maintain."
"The solution helps us to scale our products and services, and it helps me by gathering those metrics."
"The product’s scalability is valuable."
"The product's initial setup phase is very easy."
"Stability-wise, I rate the solution a ten out of ten."
"The feature I found most valuable is the number of integrations. It is the industry standard for metrics."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"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."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"Elastic Observability’s price could be improved."
"More web features could be added to the product."
"The UI and GUI are areas of concern in the product."
"I would like to see improvement in the analysis tools and customization features."
"The solution has shortcomings regarding security monitoring-oriented features to support custom use cases, like out-of-the-box test scenarios and threat-related use cases of its users."
"There isn’t much clarity regarding the issues that happen at the server end. It is a push model and from the client’s point of view, it needs to look better and solve remote issues."
"If you are not quite technical, it can be pretty hard to understand the way it works and how to query data in Prometheus."
"Setting up the rules in Prometheus can be confusing, making it an area where improvements are required."
"The scalability must be improved."
"Prometheus requires improvement on the query side."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Prometheus is ranked 9th in Application Performance Monitoring (APM) and Observability with 32 reviews. Elastic Observability is rated 7.8, while Prometheus is rated 8.4. 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 Prometheus writes "A very flexible open box that can be used vastly to do anything you need". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry, whereas Prometheus is most compared with Azure Monitor, New Relic, Dynatrace, Sentry and AWS X-Ray. See our Elastic Observability vs. Prometheus report.
See our list of best Application Performance Monitoring (APM) and Observability 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.