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.
"Machine learning is the most valuable feature of this solution."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The most valuable feature of Elastic Observability is the text search."
"It's easy to deploy, and it's very flexible."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"Its diverse set of features available on the cloud is of significant importance."
"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."
"Good design and easy to use once implemented."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"The product’s scalability is valuable."
"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."
"I like its lightweight configuration functions."
"The scalability of Prometheus is very good."
"Stability-wise, I rate the solution a ten out of ten."
"Prometheus is an open-source product that helps mold and improve it per our requirements. It is a lightweight solution that gives you many different metrics you can use in your application. The product offers complete granularity of your infrastructure. It integrates seamlessly with other tools like Grafana, which offers dashboard visibility. Prometheus is an extensively used product. I haven't seen any organization that is not using it."
"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 solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"More web features could be added to the product."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"There's a steep learning curve if you've never used this solution before."
"Elastic Observability’s price could be improved."
"There could be more low-code features included in the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The alert functionality is kind of lackluster."
"The query language in Prometheus is an area of concern where improvements are required."
"They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version."
"The DSL could be improved."
"Prometheus can definitely improve its visualization. For example, the matrices represented in Prometheus do not have a very good visualization on their dashboard."
"Prometheus has a learning curve when setting it up. It definitely requires a little bit more hands-on than other solutions. It is an open source solution which means you do need to go through and read the literature that they have online for setting it up. The setup could be made easier."
"The setup could be made easier for new users because it requires a bit of advance knowledge or experience."
"If you want to collect details of metrics, you should be able to write a query for it directly. I want the product to offer better queries for the metrics."
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.