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."
"Machine learning is the most valuable feature of this solution."
"It's easy to deploy, and it's very flexible."
"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."
"We can view and connect different sources to the dashboard using it."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"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."
"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."
"The most valuable aspect lies in its utilization of predictive analytics to anticipate and prevent incidents within a window of twenty to thirty minutes."
"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."
"The observability is great and valuable."
"The most valuable features are the agility, being able to ingest many data sources with no limitation on capacity."
"We have a lot of teams using Splunk and they would be blind without it."
"The feature that stood out to me most from Splunk IT Service Intelligence (ITSI) was automated dashboarding or reporting. The solution lists the severity level of issues, and the response times."
"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."
"One of the excellent features is the service analyzer, which is truly impressive."
"There is room for improvement regarding its APM capabilities."
"There could be more low-code features included in the product."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"The interface could be improved."
"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 needs to improve the retrieval of logs and metrics from all the instances."
"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."
"We're using predictive analytics, and there are three or four algorithms. It would be helpful if this process were more standardized and scalable."
"The problem becomes the price, as Splunk is an expensive product."
"Predictive analytics, in terms of preventing incidents before they occur, still needs time to mature."
"We'd like them to show more inputs on the dashboard."
"We're getting alerts with delays of maybe five minutes, however, we'd like to see real-time alerting in the future."
"It was an intimidating tool for us to jump into at the beginning."
"The dashboard queries should be improved. More queries should be suggested in order to produce better dashboards."
"Microservices is the only area where Splunk ITSI can be improved. When things come from one EC2 instance to another, there's a lack of exposure to microservices, so we can't know what's happening. Apart from that, it's doing pretty well."
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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.
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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.