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."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."
"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 event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"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 best of a bad lot was the error message deduping."
"The solution is user-friendly and has good performance and certification."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"Detectors are a powerful feature."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"Splunk's dashboards are great."
"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."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"Lacks sufficient dashboard features."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"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."
"The cost of this product is too high compared to New Relic."
"BigPanda attempts a little of everything and fails at most."
"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."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"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."
"There are some predefined metrics.......we may want to create customized metrics."
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, PagerDuty Operations Cloud, ServiceNow IT Operations Management and IBM Tivoli NetCool OMNIbus, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Monte Carlo, Elastic Observability and Observe.
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.
