We performed a comparison between BigPanda and Sumo Logic Observability based on real PeerSpot user reviews.
Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"Easy integration - We've had challenges in the past integrating all of our various monitoring sources and tools into one central system. BigPanda, with the integrations that it already has, as well as offering webhook/REST API, has made it very easy for us to plug everything in."
"Alert deduplication and correlation - In an environment like the NOC where you're ingesting hundreds and thousands of alerts from various monitoring sources, it's time consuming and difficult to go through individual alerts and also difficult to spot critical issues. It's been great to have BigPanda not only deduplicate alerts but also correlate alerts that are seemingly unrelated, to create a clearer picture."
"The best of a bad lot was the error message deduping."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The main thing that we like about BigPanda is the user interface."
"A user-friendly 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."
"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."
"I have not seen any stability issues in the product."
"The product is easy to learn."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"The solution could improve by having better integration."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"The usability needs to improve, because it is a pure code environment."
"Lacks sufficient dashboard features."
"We had to use a partner for the deployment."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"Fine-grained data can be quite frustrating to work with and should be made easier."
"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."
"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."
BigPanda is ranked 15th in AIOps with 12 reviews while Sumo Logic Observability is ranked 12th in AIOps with 5 reviews. BigPanda is rated 7.2, while Sumo Logic Observability is rated 8.0. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". 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". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, ServiceNow IT Operations Management and IBM Tivoli NetCool OMNIbus, whereas Sumo Logic Observability is most compared with Dynatrace, New Relic, Prometheus and Chronosphere. See our BigPanda vs. Sumo Logic Observability report.
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