We performed a comparison between ScienceLogic and Sumo Logic Observability based on real PeerSpot user reviews.
Find out in this report how the two Cloud Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The power flow is great."
"The best feature is the highly flexible graphs."
"One of the valuable features is rapid dashboards."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"When it comes to features, the power pack is the most valuable."
"Its ITSM and EMS combination is really amazing. There is no need to purchase two products, one for ITSM and a second for EMS/NMS."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"Dynamic Component Mapping is key and unique."
"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."
"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 solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
"They should add CLI command modes and scripts for high performance."
"The product's reporting functionalities have certain shortcomings, making it an area where improvements are required."
"They should improve their support process and add chat."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"I would like to see out-of-the-box standard dashboards for common services."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
"Admins do not have direct access to the reporting."
"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."
"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."
ScienceLogic is ranked 12th in Cloud Monitoring Software with 42 reviews while Sumo Logic Observability is ranked 26th in Cloud Monitoring Software with 5 reviews. ScienceLogic is rated 8.6, while Sumo Logic Observability is rated 8.0. The top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". 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". ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Zabbix, whereas Sumo Logic Observability is most compared with Dynatrace, New Relic, Prometheus and Chronosphere. See our ScienceLogic vs. Sumo Logic Observability report.
See our list of best Cloud Monitoring Software vendors and best AIOps vendors.
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