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.
"It has always been a stable solution."
"The price is very less expensive compared to the other solutions."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"Good design and easy to use once implemented."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The solution allows us to dig deep into data."
"The architecture and system's stability are simple."
"The solution has been stable in our usage."
"The most valuable feature is that we can receive information in different formats."
"It is a stable solution...Based on the feedback I have received from my colleagues in our company's IT department, the setup phase of the solution is relatively easy."
"The product is easy to maintain."
"Stability-wise, I rate the solution a ten out of ten."
"Prometheus provides a flexible and adjustable querying and describing time, allowing for more responsive monitoring."
"The solution is useful to collect huge metrics."
"The good thing is it integrates well with the Grafana dashboard. It comes with a UI where you see everything as a graph."
"The most valuable features of Prometheus for metrics collection and monitoring are its stability, robustness, and rich set of features."
"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."
"The interface could be improved."
"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 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."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"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."
"The scalability must be improved."
"The setup could be made easier for new users because it requires a bit of advance knowledge or experience."
"The primary area where Prometheus could be improved is in terms of pricing, particularly when used with managed services."
"Lacks the ability to clusterize."
"The UI and GUI are areas of concern in the product."
"A slight alteration to the user interface should be made to increase efficiency and streamline the process. Currently, we are utilizing Prometheus to gather and compile metrics and then utilizing Grafana to display them in the form of a graph. However, I believe that Prometheus has the capability to handle both of these tasks on its own, with perhaps the addition of a supplementary plugin. By doing so, the need for utilizing two separate applications will be eliminated."
"One potential area for improvement would be fixing the occasional glitches and bugs."
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, Azure Monitor, Sentry and AppDynamics, 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.