Loom Systems vs Weka comparison

Read 14 Weka reviews

0 Views
0 Comparison Views

78% willing to recommend

Loom Systems

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Apr 6, 2025

Weka and Loom Systems are competing products in the data analytics space. Weka seems to have an advantage in pricing and support, while Loom Systems is preferred for its robust feature set, suggesting it offers a superior value proposition.

Features: Weka showcases extensive data mining capabilities with a wide array of machine learning algorithms. Its flexibility and scalability are standout features. The platform is recognized for ease of integration, particularly with Java. Loom Systems excels in predictive analytics and AI-driven insights, beneficial for proactive decision-making. It emphasizes AI-driven predictions, setting it apart from Weka's machine learning focus. It is valued for its infrastructure monitoring capabilities.

Room for Improvement: Weka could enhance its visualization tools as current options do not meet the needs for presenting findings. Advanced users might find limitations in its graphical user interface for in-depth analytics. Loom Systems has a more complex deployment process that might benefit from simplification. Technical expertise requirement for its setup could be a hurdle for some users. Enhanced user training resources could improve user onboarding.

Ease of Deployment and Customer Service: Weka offers an easy deployment model with comprehensive setup documentation. Its customer service is well-regarded, providing reliable support. Loom Systems involves a more complex implementation but allows advanced configuration tailored to business needs. While requiring technical expertise, its customer service is responsive, aligning with specific client requirements.

Pricing and ROI: Weka is noted for its competitive pricing and transparent cost structure. Users experience a quick return on investment due to its efficient deployment. Loom Systems, generally higher in cost, provides significant value with its comprehensive features and AI capabilities contributing to a broader, long-term ROI.

To learn more, read our detailed Loom Systems vs. Weka Report (Updated: April 2025).

Loom Systems vs. Weka

Download the complete report

Helped 849,963 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Loom Systems

Ranking in Anomaly Detection Tools

2nd

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (64th)

Weka

Ranking in Anomaly Detection Tools

4th

Average Rating

7.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (2nd)

Featured Reviews

Keerthi Kumar Sangaraju

Technology Manager at FIS

Stable, easy to set up, flexible, and has multiple functionalities, but needs to define priority levels for each incident

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.

Read full review

AwaisAnwar

Treasury Management in Finance Department at National University of Pakistan

Open source, good for basic data mining use cases except for the visualization results

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 and results. Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The RFS portion of the solution is the product's most valuable feature."

"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."

"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."

"You can develop your own apps within Loom, and they can be configured very simply."

"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."

"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."

"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."

"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing 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."

"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 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."

More Weka pros

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."

"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 could be more stable."

"If there are a lot more lines of code, then we should use another language."

"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."

"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."

"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."

"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."

"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."

More Weka cons

Pricing and Cost Advice

Information not available

"We use the free version now. My faculty is very small."

"Currently, I am using an open-source version so I don't know much about the price of this solution."

"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."

"The solution is free and open-source."

See which vendors are best for you

Use our free recommendation engine to learn which Anomaly Detection Tools solutions are best for your needs.

See recommendations

849,963 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

University

19%

Educational Organization

15%

Computer Software Company

11%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

What do you like most about Weka?

It is a stable product.

See all answers

What is your experience regarding pricing and costs for Weka?

Weka is free and open-source software. That is why I used it over KNIME.

See all answers

What needs improvement with Weka?

See all answers

Comparisons

No data available

KNIME vs Weka

Compared 61% of the time

IBM SPSS Statistics vs Weka

Compared 15% of the time

IBM SPSS Modeler vs Weka

Compared 8% of the time

Splunk User Behavior Analytics vs Weka

Compared 5% of the time

SAS Analytics vs Weka

Compared 4% of the time

More Weka Competitors

Product Reports

IT Infrastructure Monitoring

Download Loom Systems product report

Download Weka product report

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.

ServiceNow

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

Loom Systems vs. Weka