We performed a comparison between BigPanda and Elastic Observability based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"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 solution is user-friendly and has good performance and certification."
"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 aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"The program is very stable."
"The architecture and system's stability are simple."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"I have built a mini business intelligence system based on Elastic Observability."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"Good design and easy to use once implemented."
"The solution allows us to dig deep into data."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"The cost of this product is too high compared to New Relic."
"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."
"The usability needs to improve, because it is a pure code environment."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"We had to use a partner for the deployment."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The cost must be made more transparent."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"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."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
BigPanda is ranked 40th in IT Infrastructure Monitoring with 12 reviews while Elastic Observability is ranked 10th in IT Infrastructure Monitoring with 22 reviews. BigPanda is rated 7.2, while Elastic Observability is rated 7.8. 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 Elastic Observability writes "The user interface framework lets us do custom development when needed. ". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, IBM Tivoli NetCool OMNIbus and ServiceNow IT Operations Management, whereas Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry. See our BigPanda vs. Elastic Observability report.
See our list of best IT Infrastructure Monitoring vendors.
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