We performed a comparison between BigPanda and Splunk APM based on real PeerSpot user reviews.
Find out what your peers are saying about Zabbix, Datadog, Auvik and others in IT Infrastructure Monitoring."The main thing that we like about BigPanda is the user interface."
"A user-friendly solution."
"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."
"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."
"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."
"One of the most valuable features of BigPanda is its user-friendly interface."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"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."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"Detectors are a powerful feature."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The most beneficial aspect of Slunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The solution is stable and reliable."
"The cost of this product is too high compared to New Relic."
"The usability needs to improve, because it is a pure code environment."
"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."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"Lacks sufficient dashboard features."
"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 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 UI enhancements could be a way to improve the solution in the future."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"The monitoring of workloads when using SignalFx could be improved."
"The UI enhancements could be a way to improve the solution in the future."
"We currently lack log analysis capabilities in Splunk APM."
"Primarily, the logs in Slunk APM can be challenging to navigate and comprehend, making it difficult to understand the details within each log. Compared to other tools like LogDNA, which are more intuitive in this aspect, the logs in Slunk APM can require more effort to understand."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
BigPanda is ranked 40th in IT Infrastructure Monitoring with 12 reviews while Splunk APM is ranked 14th in Application Performance Monitoring (APM) and Observability with 12 reviews. BigPanda is rated 7.2, while Splunk APM is rated 8.2. 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 Splunk APM writes "Provides great visibility, analysis, and data telemetry". BigPanda is most compared with ServiceNow, Moogsoft, PagerDuty Operations Cloud, IBM Tivoli NetCool OMNIbus and ServiceNow IT Operations Management, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability, Monte Carlo and Grafana.
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.
