We performed a comparison between Elastic Search and Splunk User Behavior Analytics based on real PeerSpot user reviews.
Find out in this report how the two Indexing and Search solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"The solution is stable and reliable."
"I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"The solution has good security features. I have been happy with the dashboards and interface."
"The solution is extremely scalable. Our customers are regularly scaling up after installing Splunk."
"This is a good security product."
"The solution is definitely scalable."
"The solution appears to be stable, although we haven't used it heavily."
"It's easily scalable."
"Because of some of the visualizations that we utilize, we are able to understand strange, unusual traffic on our networks."
"It's straightforward in terms of configuration and troubleshooting and log management and monitoring as well. These are the edge points in addition to it being a modular solution where you can capitalize on your current licenses with extra licensing models, which can match the customer's business requirement and it can help the customer to design or to actually plan for their own roadmap."
"It is a solution that helps test and measure customer satisfaction."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"There is an index issue in which the data starts to crash as it increases."
"We'd like more user-friendly integrations."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
"It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."
"Machine learning on search needs improvement."
"They should work to add more built-in correlation searches and more use cases based on worldwide customer experiences. They need more ready-made use cases."
"The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes."
"The ability to do more complicated data investigation would be a welcome addition for pros, though the functionality now gives most people what they need."
"There are occasional bugs."
"It could be easier to scale the solution if you are using it on-premise, not in the cloud."
"If the price was lowered and the setup process was less complex, I would consider rating it higher."
"I'm not aware of any lacking features."
"The correlation engine should have persistent and definable rules."
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Elastic Search is ranked 1st in Indexing and Search with 59 reviews while Splunk User Behavior Analytics is ranked 2nd in User Entity Behavior Analytics (UEBA) with 17 reviews. Elastic Search is rated 8.2, while Splunk User Behavior Analytics is rated 8.2. The top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". On the other hand, the top reviewer of Splunk User Behavior Analytics writes "Easy to configure and easy to use solution that integrates with many applications and scripts ". Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Exalead, whereas Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, IBM Security QRadar, Varonis Datalert and Vectra AI. See our Elastic Search vs. Splunk User Behavior Analytics report.
We monitor all Indexing and Search 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.