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 event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The best of a bad lot was the error message deduping."
"The program is very stable."
"A user-friendly solution."
"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."
"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 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."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The price is very less expensive compared to the other solutions."
"We can view and connect different sources to the dashboard using it."
"It has always been a stable solution."
"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."
"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."
"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 product has connectors to many services."
"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."
"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."
"BigPanda attempts a little of everything and fails at most."
"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."
"The cost of this product is too high compared to New Relic."
"The solution could improve by having better integration."
"We had to use a partner for the deployment."
"There's a steep learning curve if you've never used this solution before."
"The price is the only issue in the solution. It can be made better and cheaper."
"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."
"Elastic Observability’s price could be improved."
"There could be more low-code features included in the product."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The interface could be improved."
"There is room for improvement regarding its APM capabilities."
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, 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 Datadog. See our BigPanda vs. Elastic Observability report.
See our list of best IT Infrastructure Monitoring vendors.
We monitor all IT Infrastructure Monitoring 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.
