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."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."
"The best of a bad lot was the error message deduping."
"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 most valuable features of BigPanda are the API integration was good. It enables us to do faster onboarding."
"The program is very stable."
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"The solution is user-friendly and has good performance and certification."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"Detectors are a powerful feature."
"The most valuable features are troubleshooting and optimizing application performance."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"Splunk's dashboards are great."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"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 usability needs to improve, because it is a pure code environment."
"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."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"We had to use a partner for the deployment."
"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."
"BigPanda attempts a little of everything and fails at most."
"The solution could improve by having better integration."
"The UI enhancements could be a way to improve the solution in the future."
"The cardinality is pretty low."
"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."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
"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."
BigPanda is ranked 43rd in IT Infrastructure Monitoring with 12 reviews while Splunk APM is ranked 13th in Application Performance Monitoring (APM) and Observability with 13 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, IBM Tivoli NetCool OMNIbus, ServiceNow IT Operations Management and PagerDuty Operations Cloud, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Monte Carlo, Elastic Observability and Observe.
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