We performed a comparison between Loom Systems and Weka based on real PeerSpot user reviews.
Find out what your peers are saying about Splunk, Weka, Coralogix and others in Anomaly Detection Tools."The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"The RFS portion of the solution is the product's most valuable feature."
"You can develop your own apps within Loom, and they can be configured very simply."
"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution."
"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."
"I like the machine algorithm for clustering systems. Weka has larger capabilities. There are multiple algorithms that can be used for clustering. It depends upon the user requirements. For clustering, I've used DBSCAN, whereas for supervised learning, I've used AVM and RFT."
"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."
"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."
"Working with complicated algorithms in huge datasets is really easy in Weka."
"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."
"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,"
"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority."
"The change management within the solution needs to be improved. There needs to be more process automation."
"The reporting is a bit weak. They should work to improve this aspect of the product."
"Weka could be more stable."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
"If you have one missing value in your dataset and this missing value belongs to a specific attribute and the attribute is a numeric attribute and there is only one missing data, whenever you import this data, the problem is that Weka cannot understand that this is a numeric field. It converts everything into a string, and there is no way to convert the string into numerical math. It's really very complicated."
"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."
"If there are a lot more lines of code, then we should use another language."
"A few people said it became slow after a while."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"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."
Loom Systems is ranked 4th in Anomaly Detection Tools with 4 reviews while Weka is ranked 2nd in Anomaly Detection Tools with 14 reviews. Loom Systems is rated 8.0, while Weka is rated 7.6. The top reviewer of Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". On the other hand, the top reviewer of Weka writes "Open source, good for basic data mining use cases except for the visualization results". Loom Systems is most compared with Elastic Search and Splunk Infrastructure Monitoring, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, Oracle Advanced Analytics and SAS Analytics.
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