We performed a comparison between IBM Security QRadar and Splunk User Behavior Analytics based on real PeerSpot user reviews.
Find out in this report how the two User Entity Behavior Analytics (UEBA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Provided that the report is prebuilt and I can find what I am looking for, the reporting is the most valuable feature in this solution."
"It's hard for me to pinpoint any one feature that's most valuable because it is all about consuming logs and analyzing them. We started using QRadar UBA because we needed something that could analyze Linux authentication information. Other products take care of the Windows platform."
"The solution is relatively easy to use."
"Improved our organization's TCO."
"There are more than 120 extensions in QRadar, which are easy to install and configure. These can improve your analysis of events."
"Log correlation is very useful for processing alerts. It serves to follow up alerts in real-time, building an entire workflow."
"Vulnerability data, network data and the like, are part of correlation and detection."
"There is a single dashboard that gives us a complete overview of what is happening around the globe."
"The solution is definitely scalable."
"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."
"The solution appears to be stable, although we haven't used it heavily."
"The most valuable feature is the ability to search through a large amount of data."
"Splunk is more user-friendly than some competing solutions we tried."
"Because of some of the visualizations that we utilize, we are able to understand strange, unusual traffic on our networks."
"The product is at the forefront of auto-remediation networking. It's great."
"The most valuable features are the indexing and powerful search features."
"I have noticed the interface has room for improvement."
"In terms of what could be improved, I would say the script which we have to create for custom actions. QRadar needs to improve that feature. Additionally, QRadar has to provide the playbooks designing features."
"I'd like them to improve the offense. When QRadar detects something, it creates what it calls offenses. So, it has a rudimentary ticketing system inside of it. This is the same interface that was there when I started using it 12 years ago. It just has not been improved. They do allow integration with IBM Resilient, but IBM Resilient is grotesquely expensive. The most effective integration that IBM offers today is with IBM Resilient, which is an instant response platform. It is a very good platform, but it is very expensive. They really should do something with the offense handling because it is very difficult to scale, and it has limitations. The maximum number of offenses that it can carry is 16K. After 16K, you have to flush your offenses out. So, it is all or nothing. You lose all your offenses up until that point in time, and you don't have any history within the offense list of older events. If you're dealing with multiple customers, this becomes problematic. That's why you need to use another product to do the actual ticketing. If you wanted the ticket existence, you would normally interface with ServiceNow, SolarWinds, or some other product like that."
"IBM Security QRadar’s GUI could be improved."
"They should provide more manual examples online so that I can learn it myself."
"IBM technical support is always terrible."
"The user interface and configurability of IBM QRadar User Behavior Analytics can be improved. It has a lot of pre-configured settings and not many things can be changed. It also needs more integrations. Currently, User Behavior Analytics is integrated only with IBM QRadar. It could have deeper integrations. It can also have more complicated scoring models. Currently, it has a very simple linear scoring model for users."
"The quality of technical support depends on the IBM support person. Sometimes, it's hard to get the right person on the other side. A ticket coordinator could be the key to better quality delivery."
"In the future I would like to see simplified statistics and analytical threats."
"It could be easier to scale the solution if you are using it on-premise, not in the cloud."
"There are occasional bugs."
"The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes."
"The price of Splunk UBA is too high."
"I'm not aware of any lacking features."
"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 ability to do more complicated data investigation would be a welcome addition for pros, though the functionality now gives most people what they need."
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IBM Security QRadar is ranked 1st in User Entity Behavior Analytics (UEBA) with 198 reviews while Splunk User Behavior Analytics is ranked 2nd in User Entity Behavior Analytics (UEBA) with 17 reviews. IBM Security QRadar is rated 8.0, while Splunk User Behavior Analytics is rated 8.2. The top reviewer of IBM Security QRadar writes "A highly stable and scalable solution that provides good technical support". 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 ". IBM Security QRadar is most compared with Microsoft Sentinel, Splunk Enterprise Security, Wazuh, LogRhythm SIEM and Cortex XSIAM, whereas Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, Varonis Datalert, Cynet and Exabeam Fusion SIEM. See our IBM Security QRadar vs. Splunk User Behavior Analytics report.
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We monitor all User Entity Behavior Analytics (UEBA) 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.