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 scalability of Prometheus is very good."
"The most valuable features of Prometheus for metrics collection and monitoring are its stability, robustness, and rich set of features."
"The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure."
"The feature I found most valuable is the number of integrations. It is the industry standard for metrics."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"The most valuable feature of Prometheus is the ease of pulling the metrics."
"Prometheus provides a flexible and adjustable querying and describing time, allowing for more responsive monitoring."
"It is an efficient solution."
"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."
"The product is easy to learn."
"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."
"Its stability could be even better."
"The simplicity of the query language could be improved. The current query language is not easy to work with."
"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."
"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."
"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 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 solution's error handling part could be improved."
"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."
"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
"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.
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