We performed a comparison between Elastic Observability and Splunk ITSI (IT Service Intelligence) based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Elastic Observability provides a wider range of features such as machine learning, custom development, and predictive analytics. Although it has a steep learning curve, it is cost-effective. Splunk ITSI, while stable and easy to use, could improve its dashboard queries and customer support. Overall, Elastic Observability is a more cost-effective and feature-rich choice for application performance monitoring.
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The product has connectors to many services."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"It's easy to deploy, and it's very flexible."
"The most valuable feature of Elastic Observability is the text search."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"ITSI includes a feature called a glass table."
"We save substantial time on monitoring tasks because we don't have to search for what we need. Everything is packed, so you can drill down to the end values by just doing the kit. We don't spend a lot of time on this. Splunk ITSI is easy to use and not time-consuming."
"Alerts and episodes are valuable to me."
"Splunk Episodes are valuable because it correlates and aggregates all the information, and you do not have one million events to look at and triage, so it is quite convenient."
"Customers have noted the solution helps streamline incident management."
"The glass tables are very helpful."
"The modeling required to setup ITSI has been very helpful in providing us a better understanding and a logical view of our services. The modeling is flexible and can be as granular or high level as our needs dictate."
"One particularly useful feature of Splunk ITSI is the ability to create custom services."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"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."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"The price is the only issue in the solution. It can be made better and cheaper."
"Splunk ITSI generates numerous false positives and has the potential for enhancement."
"I believe the refresh time should be faster."
"The dashboard queries should be improved. More queries should be suggested in order to produce better dashboards."
"ITSI could benefit from a security model that would allow operations team members to get involved in model building, KPI implementation, and model maintenance, while maintaining appropriate segregation of duties."
"Splunk ITSI consumes a lot of CPU resources."
"The data recovery has room for improvement."
"The solution should integrate more features in NEAP."
"We have problems doing upgrades and operating alternate new versions."
More Splunk ITSI (IT Service Intelligence) Pricing and Cost Advice →
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Splunk ITSI (IT Service Intelligence) is ranked 12th in Application Performance Monitoring (APM) and Observability with 30 reviews. Elastic Observability is rated 7.8, while Splunk ITSI (IT Service Intelligence) 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 ITSI (IT Service Intelligence) writes "Helps improve our incident response time, and our mean time to resolve, but visibility is limited". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and ITRS Geneos, whereas Splunk ITSI (IT Service Intelligence) is most compared with ServiceNow IT Operations Management, Dynatrace, Grafana, Splunk APM and OpsRamp. See our Elastic Observability vs. Splunk ITSI (IT Service Intelligence) 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.