We performed a comparison between ScienceLogic 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."Provides agentless monitoring so there's no need to install the agent on each server."
"The most valuable features of ScienceLogic are AI and machine learning."
"Science Logic provides distributed and all-in-one concept in monitoring, you can easily customize the features in this product."
"The solution provides good infra-monitoring features."
"It is very easy to configure because we are using an agent-less version. You can very quickly implement a collector for monitoring device servers."
"Dynamic Component Mapping is key and unique."
"The flexibility to support most technologies. The way ScienceLogic gathers data from multiple sources is vital to our customers. As we work with new customers (often with different technology requirements), ScienceLogic is flexible enough to support our clients’ varying network needs."
"It is simple."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The most valuable features are troubleshooting and optimizing application performance."
"Splunk's dashboards are great."
"The features are pretty much ready out of the box."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"The features are pretty much ready out of the box."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"Detectors are a powerful feature."
"I would like to see out-of-the-box standard dashboards for common services."
"One important area we feel could be improved is the UI. It takes a lot of clicks to do very simple tasks."
"They should improve database issues in HA and Failover mode, and provide documentation for all users , even if they are not customers."
"We want to understand: how does the back end work? What if some problem occurs? What we can do? They need to provide more information."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"There are often bugs in new releases."
"The product must educate its strategic partners for deployment."
"It was challenging onboarding users."
"There are some predefined metrics.......we may want to create customized metrics."
"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 cardinality is pretty low."
"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."
"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."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
ScienceLogic is ranked 12th in IT Infrastructure Monitoring with 42 reviews while Splunk APM is ranked 13th in Application Performance Monitoring (APM) and Observability with 12 reviews. ScienceLogic is rated 8.6, while Splunk APM is rated 8.2. The top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". On the other hand, the top reviewer of Splunk APM writes "Provides great visibility, analysis, and data telemetry". ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Zabbix, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability, Monte Carlo and Dynatrace.
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.
