We performed a comparison between Prometheus and Sumo Logic Observability based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The feature I found most valuable is the number of integrations. It is the industry standard for metrics."
"It is an efficient solution."
"The most valuable feature of Prometheus is the ease of pulling the metrics."
"The product’s scalability is valuable."
"The solution offers an easy way to install and scratch values."
"It has lots of APIs and libraries to integrate with any kind of language."
"The sky is the limit because the solution is a flexible open box that can be used vastly to do anything you need to monitor applications."
"The most valuable features of Prometheus for metrics collection and monitoring are its stability, robustness, and rich set of features."
"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."
"I have not seen any stability issues in the product."
"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."
"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."
"The product is easy to learn."
"The alert functionality is kind of lackluster."
"Prometheus can definitely improve its visualization. For example, the matrices represented in Prometheus do not have a very good visualization on their dashboard."
"They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version."
"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."
"Prometheus' UI color can improve. Using the Prometheus UI for configuration or analyzing queries is a horrible experience."
"Its documentation could be clearer to understand."
"When it comes to deployment, if you have no experience with something like a CI/CD pipeline, it might be a challenge."
"Lacks the ability to clusterize."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."
"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."
"Fine-grained data can be quite frustrating to work with and should be made easier."
Prometheus is ranked 9th in Application Performance Monitoring (APM) and Observability with 32 reviews while Sumo Logic Observability is ranked 29th in Application Performance Monitoring (APM) and Observability with 5 reviews. Prometheus is rated 8.4, while Sumo Logic Observability is rated 8.0. The top reviewer of Prometheus writes "A very flexible open box that can be used vastly to do anything you need". On the other hand, the top reviewer of Sumo Logic Observability writes "Easy creation of custom fields, no need to alter applications; supports ten active logging applications simultaneously and faster than aster than default search tools". Prometheus is most compared with Azure Monitor, New Relic, Dynatrace, Sentry and AWS X-Ray, whereas Sumo Logic Observability is most compared with Dynatrace, New Relic and Chronosphere. See our Prometheus vs. Sumo Logic Observability 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.
