We performed a comparison between Elastic Observability and Splunk Enterprise Security based on real PeerSpot user reviews.
Find out in this report how the two Log Management 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."
"Machine learning is the most valuable feature of this solution."
"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."
"The solution has been stable in our usage."
"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."
"We can view and connect different sources to the dashboard using it."
"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."
"Its diverse set of features available on the cloud is of significant importance."
"Our clients are easily able to modify and evolve their implementations."
"We used it to create a custom anomaly detection data model to monitor the activity of our back-end services on an hourly basis relative to the past three months of activity."
"It gives us the liberty to do more in terms of use cases."
"The dashboard and reporting are very good... It provides very good visibility in a hybrid cloud environment, and you can build custom utilization APIs using Splunk."
"The product is good, it satisfies our customers."
"It's basically one of the best SIEM products on the market."
"The ability to ingest different log types from many different products in our environment is most valuable."
"Splunk Enterprise Security offers two valuable features: the Common Information Model and arrangement modules."
"There could be more low-code features included in the product."
"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."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"The interface could be improved."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"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 needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"The product's price may be an area of concern where improvements are required."
"Most of my interaction is with the user community, which is how Splunk wants it. When I need help, that community is very hit or miss."
"There can be a bit of complexity around some fields during the initial setup."
"While scheduled reports can be embedded, Splunk dashboard can not be embedded directly without enabling cross origin."
"Free-floating panels in the dashboards are like a glass table."
"While Splunkbase (the app repository) has a lot of great content, some apps are terribly old and could stand to be updated or purged."
"The price of the solution could be cheaper."
"It is a good product, but the Achilles heel for a lot of organizations is the cost model for it because it gets expensive. That's because the model is based on how much data it processes a day, which can be prohibitive, especially if you have a lot of data. A lot of customers may not be ready for the sticker shock on how to fully leverage the product. I realized that the reason for that is that when it was originally designed, it was kind of like a big data modeling application. If they want to have a bigger customer base, they can come out with subsets of their product that are focused on specific things and have different pricing models. It may help with the cost."
Elastic Observability is ranked 14th in Log Management with 22 reviews while Splunk Enterprise Security is ranked 1st in Log Management with 240 reviews. Elastic Observability is rated 7.8, while Splunk Enterprise Security is rated 8.4. 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 Enterprise Security writes "It has a drag-and-drop interface, so you don't need to know SQL or Java to construct a query ". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry, whereas Splunk Enterprise Security is most compared with Wazuh, Dynatrace, IBM Security QRadar, Elastic Security and Microsoft Sentinel. See our Elastic Observability vs. Splunk Enterprise Security report.
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