We performed a comparison between Elastic Observability 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."We can view and connect different sources to the dashboard using it."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The solution has been stable in our usage."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"The price is very less expensive compared to the other solutions."
"Machine learning is the most valuable feature of this solution."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The product is easy to learn."
"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."
"I have not seen any stability issues in the product."
"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."
"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."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"More web features could be added to the product."
"The interface could be improved."
"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."
"There is room for improvement regarding its APM capabilities."
"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’s price could be improved."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"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."
"Fine-grained data can be quite frustrating to work with and should be made easier."
"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."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Sumo Logic Observability is ranked 29th in Application Performance Monitoring (APM) and Observability with 5 reviews. Elastic Observability is rated 7.8, while Sumo Logic Observability is rated 8.0. 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 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". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Datadog, whereas Sumo Logic Observability is most compared with Dynatrace, New Relic, Prometheus and Chronosphere. See our Elastic Observability vs. Sumo Logic Observability report.
See our list of best Application Performance Monitoring (APM) and Observability vendors and best Cloud Monitoring Software 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.
