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Oracle Advanced Analytics vs Weka comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 21, 2025

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

Oracle Advanced Analytics
Ranking in Data Mining
7th
Average Rating
8.0
Reviews Sentiment
4.4
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Weka
Ranking in Data Mining
3rd
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
14
Ranking in other categories
Anomaly Detection Tools (4th)
 

Mindshare comparison

As of September 2025, in the Data Mining category, the mindshare of Oracle Advanced Analytics is 4.9%, up from 4.5% compared to the previous year. The mindshare of Weka is 15.0%, down from 21.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
Weka15.0%
Oracle Advanced Analytics4.9%
Other80.1%
Data Mining
 

Featured Reviews

Alejandro Merida - PeerSpot reviewer
Has efficient predictive analysis capabilities, helping us maintain a secure network environment
Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over nearly 40 years The platform's most valuable features are the efficient organization of data and the ability to extract specific insights for predictive analysis. One area for…
AwaisAnwar - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Ability to pull together multiple sources of information."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"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."
"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."
"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."
"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."
"It is a stable product."
 

Cons

"One area for product improvement is the user experience, particularly when navigating through screens."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"There are some transactions we have not been able to find through the dashboard."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"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."
"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."
"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."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
 

Pricing and Cost Advice

"The solution is priced well."
"The solution is free and open-source."
"Currently, I am using an open-source version so I don't know much about the price of this solution."
"We use the free version now. My faculty is very small."
"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."
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Top Industries

By visitors reading reviews
No data available
University
18%
Educational Organization
18%
Computer Software Company
10%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise1
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for Oracle Advanced Analytics?
I am currently satisfied with the pricing for Oracle Advanced Analytics. It's a little bit high maybe, but I think it's acceptable.
What needs improvement with Oracle Advanced Analytics?
The organizational context makes it difficult to deploy Oracle Advanced Analytics because we have all kinds of contract maintenance parties; however, the software installation itself is something w...
What is your primary use case for Oracle Advanced Analytics?
I currently use the solution just for gathering information, and I'm working on a side project detailing cloud costs. I downloaded the information to get some information about the situation. We ty...
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.
What needs improvement with Weka?
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...
 

Also Known As

OAA
No data available
 

Overview

 

Sample Customers

Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Information Not Available
Find out what your peers are saying about Oracle Advanced Analytics vs. Weka and other solutions. Updated: September 2025.
866,744 professionals have used our research since 2012.