Loom Systems vs Weka comparison

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Read 14 Weka reviews
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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 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.""The solution is absolutely scalable. If an organization needs to expand it out they definitely can."

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"It doesn’t cost anything to use the product.""Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data.""It is a stable product.""I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka.""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.""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.""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.""Working with complicated algorithms in huge datasets is really easy in Weka."

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Cons
"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 discovery and mapping still takes a lot of human intervention, it's quite resource heavy,""The reporting is a bit weak. They should work to improve this aspect of the product.""The change management within the solution needs to be improved. There needs to be more process automation."

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"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.""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.""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.""Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well.""In terms of scalability, I think Weka is not prepared to handle a large number of users.""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.""Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science.""A few people said it became slow after a while."

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Pricing and Cost Advice
Information Not Available
  • "Currently, I am using an open-source version so I don't know much about the price of this solution."
  • "The solution is free and open-source."
  • "As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
  • "We use the free version now. My faculty is very small."
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    Questions from the Community
    Top Answer: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.
    Top Answer: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… more »
    Top Answer:We've been using Loom Systems for all client requirements and whatever we get from ITSM, specifically implementation, deployment, migration, and automation. We also use the solution for root cause… more »
    Top Answer:Weka is free and open-source software. That is why I used it over KNIME.
    Top Answer:I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding… more »
    Ranking
    Views
    50
    Comparisons
    32
    Reviews
    1
    Average Words per Review
    414
    Rating
    7.0
    Views
    117
    Comparisons
    53
    Reviews
    7
    Average Words per Review
    518
    Rating
    7.9
    Comparisons
    Learn More
    Weka
    Video Not Available
    Overview
    Loom Systems delivers an advanced AI-powered operational analytics platform to predict and prevent problems in the digital business. DevOps & IT teams use Loom for real-time detection and resolution for any type of application, including home-grown. Loom analyzes logs and metrics in all formats, performs smart correlations and root cause analysis to help organizations gain immediate into their environments. Loom stands alone in the industry as an AI platform requiring no prior math knowledge from its operators, leveraging your existing staff to succeed in the digital era. Getting started is easy - zero configuration and data pre-processing needed, so you can stream your data in its raw format.
    Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
    Sample Customers
    Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm18%
    Energy/Utilities Company9%
    Media Company7%
    VISITORS READING REVIEWS
    University18%
    Educational Organization14%
    Computer Software Company10%
    Comms Service Provider7%
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    REVIEWERS
    Small Business70%
    Midsize Enterprise10%
    Large Enterprise20%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise18%
    Large Enterprise63%
    Buyer's Guide
    Splunk User Behavior Analytics vs. Weka
    March 2024
    Find out what your peers are saying about Splunk User Behavior Analytics vs. Weka and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    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.

    See our list of best Anomaly Detection Tools vendors.

    We monitor all Anomaly Detection Tools 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.