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 main thing that we like about BigPanda is the user interface."
"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."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"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."
"The most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"Its diverse set of features available on the cloud is of significant importance."
"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 solution allows us to dig deep into data."
"It's easy to deploy, and it's very flexible."
"The most valuable feature of Elastic Observability is the text search."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"Machine learning is the most valuable feature of this solution."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"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 cost of this product is too high compared to New Relic."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"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."
"We had to use a partner for the deployment."
"The usability needs to improve, because it is a pure code environment."
"The solution could improve by having better integration."
"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."
"There could be more low-code features included in the product."
"Elastic Observability needs to have better standardization, logging, and schema."
"There is room for improvement regarding its APM capabilities."
"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."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"Elastic Observability’s price could be improved."
"More web features could be added to the product."
BigPanda is ranked 43rd 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, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and PagerDuty Operations Cloud, whereas Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics. See our BigPanda vs. Elastic Observability report.
See our list of best IT Infrastructure Monitoring vendors.
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