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."Its diverse set of features available on the cloud is of significant importance."
"The price is very less expensive compared to the other solutions."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"It has always been a stable solution."
"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."
"I have built a mini business intelligence system based on Elastic Observability."
"It's easy to deploy, and it's very flexible."
"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."
"The most valuable features are how stable and easy to use Splunk is."
"The ability to view all of these different logs, then drilling down into specific times or into specific data sources, has proved to be the greatest aspect in decreasing our troubleshooting overhead time."
"The most useful feature for me is the ability to create different kinds of alerts and set a different kind of denominator that will capture the real event. That is helpful for a power user like me."
"You can use it to gather syslog messages from anything."
"What is nice about the solution is that it makes it easy to build the queries, search for the events and then do analysis."
"On the cloud, we are pushing through less than half a petabyte of data. So far, it has been fairly stable because it runs on all the underlying AWS infrastructures."
"Splunk has helped improve our company's resilience level."
"Integration with the cloud is pretty important and good for us. We found the integration with a lot of tools, not all tools yet, valuable. It does make the transfer of data, log files, and other things easier for us."
"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."
"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 price is the only issue in the solution. It can be made better and cheaper."
"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 Observability needs to have better standardization, logging, and schema."
"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."
"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 cost must be made more transparent."
"Splunk does not build apps. They only go back and validate the apps that somebody has already built. They should have remote consulting support. They have a wonderful solution. They have 24/7 security. Nobody needs to depend on any third party and will therefore just buy Splunk on the cloud."
"Delays in responses from the technical team can pose challenges for both vendors and clients, especially considering that Splunk applications and machine solutions are critical assets."
"There are a lot of competitive products that are doing better than what Splunk is doing on the analytics side."
"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."
"AngularJS/ReactJS inclusion could be made easier in GUI."
"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."
"Our two main complaints are about the difficulty of the initial setup and the licensing model."
"We do have to educate developers on how to not blow it up. It is a little to easy to write an expensive query and overly stress the system. This could be improved."
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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