Prometheus vs Sumo Logic Observability comparison

"The most valuable features of Prometheus are the many functions available. The functions are helpful for understanding the behavior of applications and infrastructure."

"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."

"The product has an easy-to-understand interface."

"The good thing is it integrates well with the Grafana dashboard. It comes with a UI where you see everything as a graph."

"Stability-wise, I rate the solution a ten out of ten."

"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."

"I like its lightweight configuration functions."

"The solution is useful to collect huge metrics."

"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."

"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."

"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."

"I have not seen any stability issues in the product."

"The primary area where Prometheus could be improved is in terms of pricing, particularly when used with managed services."

"One potential area for improvement would be fixing the occasional glitches and bugs."

"The alert functionality is kind of lackluster."

"The setup process could be more straightforward."

"The simplicity of the query language could be improved. The current query language is not easy to work with."

"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."

"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."

"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."

"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."

"Fine-grained data can be quite frustrating to work with and should be made easier."

"The product is free."

"Prometheus is an open-source tool."

"The solution is open source."

"The tool is open-sourced."

"The solution is not expensive."

"Prometheus is available as an open-source product."

"The solution is free of cost."

"This is an open-source solution."

"I started on the free tier to try it out, but because of our usage, we're now paying for it."