We performed a comparison between Elastic Observability and Splunk APM based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution is open-source and helps with back-end logging. It is also easy to handle."
"The solution has been stable in our usage."
"I have built a mini business intelligence system based on Elastic Observability."
"We can view and connect different sources to the dashboard using it."
"The most valuable feature of Elastic Observability is the text search."
"Good design and easy to use once implemented."
"The price is very less expensive compared to the other solutions."
"Its diverse set of features available on the cloud is of significant importance."
"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."
"Detectors are a powerful feature."
"The features are pretty much ready out of the box."
"The features are pretty much ready out of the box."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"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."
"There could be more low-code features included in the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"Elastic Observability’s price could be improved."
"Elastic Observability needs to have better standardization, logging, and schema."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The UI enhancements could be a way to improve the solution in the future."
"There are some predefined metrics.......we may want to create customized metrics."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
"The UI enhancements could be a way to improve the solution in the future."
"We currently lack log analysis capabilities in Splunk APM."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"The monitoring of workloads when using SignalFx could be improved."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Splunk APM is ranked 13th in Application Performance Monitoring (APM) and Observability with 13 reviews. Elastic Observability is rated 7.8, while Splunk APM is rated 8.2. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of Splunk APM writes "Provides great visibility, analysis, and data telemetry". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, AppDynamics and Sentry, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Monte Carlo, Observe and Dynatrace. See our Elastic Observability vs. Splunk APM report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.