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 solution is user-friendly and has good performance and certification."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The program is very stable."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"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."
"A user-friendly solution."
"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."
"The most valuable feature of Elastic Observability is the text search."
"Good design and easy to use once implemented."
"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 product has connectors to many services."
"It's easy to deploy, and it's very flexible."
"Machine learning is the most valuable feature of this solution."
"Its diverse set of features available on the cloud is of significant importance."
"It has always been a stable solution."
"We had to use a partner for the deployment."
"BigPanda attempts a little of everything and fails at most."
"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."
"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."
"Lacks sufficient dashboard features."
"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 cost of this product is too high compared to New Relic."
"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."
"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."
"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."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"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."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"The interface could be improved."
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.
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.
