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."This is a good security product."
"This intelligent user behavior analytics package is easy to configure and use while remaining feature filled."
"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 solution is fast, flexible, and easy to use."
"The most valuable feature is the ability to search through a large amount of data."
"We are really pleased with Splunk and its features. It would be practically impossible to function without it. To provide a general overview of the system, it's important to note that the standard log files are currently around 250 gigabytes per day. It would be impossible to manually walk through these logs by hand, which is why automation is essential."
"Splunk is more user-friendly than some competing solutions we tried."
"The solution appears to be stable, although we haven't used it heavily."
"It doesn’t cost anything to use the product."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."
"Working with complicated algorithms in huge datasets is really easy in Weka."
"There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier way."
"It is a stable product."
"The interface is very good, and the algorithms are the very best."
"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."
"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."
"We want to have an automated system for bot hunting that enables us to detect anomalies predictively based on historical data. It would be helpful if Splunk included process mining as an alternative option. We have a threat workflow, but it would be useful if we could supplement that with some process mining capabilities over time."
"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."
"The initial setup was complex because some of the configurations that we required needed customization."
"If the price was lowered and the setup process was less complex, I would consider rating it higher."
"The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes."
"The correlation engine should have persistent and definable rules."
"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."
"I would like improved downward integration with other tools such as McAfee and other GCP solutions."
"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."
"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."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"Not particularly user friendly."
"I believe is there are a few newer algorithms that are not present in the Weka libraries. Whereas, for example, if I want to have a solution that involves deep learning, so I don't think that Weka has that capability. So in that case I have to use Python for ... predict any algorithms based on deep learning."
"Weka could be more stable."
"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.
