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.
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The product has connectors to many services."
"Good design and easy to use once implemented."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The architecture and system's stability are simple."
"The solution allows us to dig deep into data."
"I have built a mini business intelligence system based on Elastic Observability."
"The root cause analysis is very helpful for us."
"The most valuable feature is the Glass Tables. It gives you a nice, good overview of your KPIs. It's really slick and clean."
"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."
"Splunk ITSI helps us secure our environment by allowing us to create automatons that run when alerts are triggered."
"The flexibility to develop and consolidate many solutions into one platform is great."
"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."
"In my opinion, Splunk IT Service Intelligence (ITSI) is better than QRadar. With the help of Splunk, we can get results."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"There's a steep learning curve if you've never used this solution before."
"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."
"More web features could be added to the product."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"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."
"The interface could be improved."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The solution should integrate more features in NEAP."
"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."
"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."
"If the product had some prebuilt machine learning features, it would add value to our use cases."
"Integration is the most critical area to improve in Splunk IT Service Intelligence (ITSI). It wasn't a great experience because you had to do a little back and forth to integrate the solution."
"The dashboard queries should be improved. More queries should be suggested in order to produce better dashboards."
"Splunk ITSI generates numerous false positives and has the potential for enhancement."
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, AppDynamics and ITRS Geneos, whereas Splunk ITSI (IT Service Intelligence) is most compared with ServiceNow IT Operations Management, Dynatrace, Grafana, Splunk APM and Splunk Enterprise Security. 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.
