We performed a comparison between Splunk User Behavior Analytics and Weka 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."The most valuable features are its data aggregation and the ability to automatically identify a number of threats, then suggest recommended actions upon them."
"It's easily scalable."
"Splunk is more user-friendly than some competing solutions we tried."
"This intelligent user behavior analytics package is easy to configure and use while remaining feature filled."
"The solution is extremely scalable. Our customers are regularly scaling up after installing Splunk."
"The solution is definitely scalable."
"The most valuable feature is being able to take data and put it into other systems so that we could see the output, and to see where we need to apply our focus."
"The most valuable feature is the ability to search through a large amount of data."
"Weka eliminates the need for coding, allowing you to easily set parameters and complete the majority of the machine learning task with just a few clicks."
"It doesn’t cost anything to use the product."
"The path of machine learning in classification and clustering is useful. The GUI can get you results. No programming is needed. No need to write down your script first or send to your model or input your data."
"With clustering, if it's a yes, it's a yes, if it's a no, it's a no. It gives you a 100% level of accuracy of a model that has been trained, and that is in most cases, usually misleading. Classification is highly valuable when done as opposed to clustering."
"The interface is very good, and the algorithms are the very best."
"Working with complicated algorithms in huge datasets is really easy in Weka."
"Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka is very lightweight. Anyone can implement any kind of algorithm, and we can show the results immediately to the client using the one-page feature. The client always wants to know the story. They want the result."
"It is a stable product."
"The price of Splunk UBA is too high."
"I'm not aware of any lacking features."
"It could be easier to scale the solution if you are using it on-premise, not in the cloud."
"The initial setup was complex because some of the configurations that we required needed customization."
"There are occasional bugs."
"We'd like the ability to do custom searches."
"Currently, a lot of network operations need improvement. We still need people to handle incidents. Our vision is to leverage status and convert it directly from the network devices. It would be ideal if we could take action using APIs and API code and remove manual processes."
"The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"Weka could be more stable."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"The product is good, but I would like it to work with big data. I know it has a Spark integration they could use to do analysis in clusters, but it's not so clear how to use it."
"A few people said it became slow after a while."
"The filter section lacks some specific transformation tools. If you want to change a variable from a numeric variable to a categorical variable, you don't have a feature that can enable you to change a variable from a numeric variable to a categorical variable."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
"The visualization of Weka is subpar and could improve. Machine learning and visualization do not work well together. For example, we want to know how we can we delete empty cells or how can we fill in the empty cells without cleaning the data system and putting it together."
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Splunk User Behavior Analytics is ranked 2nd in User Entity Behavior Analytics (UEBA) with 17 reviews while Weka is ranked 2nd in Data Mining with 14 reviews. Splunk User Behavior Analytics is rated 8.2, while Weka is rated 7.6. The top reviewer of Splunk User Behavior Analytics writes "Easy to configure and easy to use solution that integrates with many applications and scripts ". On the other hand, the top reviewer of Weka writes "Open source, good for basic data mining use cases except for the visualization results". Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, IBM Security QRadar, Cynet and Gurucul UEBA, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, Oracle Advanced Analytics and SAS Analytics. See our Splunk User Behavior Analytics vs. Weka report.
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.