Oracle Advanced Analytics vs Weka comparison

Oracle Advanced Analytics

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Executive Summary

We performed a comparison between Oracle Advanced Analytics and Weka based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Oracle Advanced Analytics vs. Weka Report (Updated: March 2025).

Oracle Advanced Analytics vs. Weka

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Helped 845,406 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

Oracle Advanced Analytics

Ranking in Data Mining

6th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Weka

Ranking in Data Mining

2nd

Average Rating

7.6

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (4th)

Mindshare comparison

As of April 2025, in the Data Mining category, the mindshare of Oracle Advanced Analytics is 4.0%, down from 4.7% compared to the previous year. The mindshare of Weka is 20.3%, down from 20.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining

Featured Reviews

Alejandro Merida

Enterprise Solutions Architect at CONTPAQi

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…

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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.

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Quotes from Members

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

Pros

"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."

"When needed, we will work closely with Oracle support and implement their workaround in our application."

"Ability to pull together multiple sources of information."

"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."

"The interface is very good, and the algorithms are the very best."

"Working with complicated algorithms in huge datasets is really easy in Weka."

"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."

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

"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."

"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."

More Weka pros

Cons

"Could use some refinement getting things that are not standard cloud applications, but more customized."

"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."

"One area for product improvement is the user experience, particularly when navigating through screens."

"There are some transactions we have not been able to find through the dashboard."

"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."

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

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

"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."

"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."

"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 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."

More Weka cons

Pricing and Cost Advice

"The solution is priced well."

"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."

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

"The solution is free and open-source."

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Top Industries

By visitors reading reviews

Government

18%

Computer Software Company

13%

Manufacturing Company

10%

University

10%

University

19%

Educational Organization

15%

Computer Software Company

11%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What needs improvement with Oracle Advanced Analytics?

One area for product improvement is the user experience, particularly when navigating through screens, especially on Windows.

What is your primary use case for Oracle Advanced Analytics?

Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over nearly 40 years.

What advice do you have for others considering Oracle Advanced Analytics?

Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment. Experienced personnel are crucial for handling the solution effectively after installation. O...

What do you like most about Weka?

It is a stable product.

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?

IBM SPSS Statistics vs Oracle Advanced Analytics

Comparisons

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Compared 7% of the time

SAS Analytics vs Weka

Compared 5% of the time

Splunk User Behavior Analytics vs Weka

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Product Reports

Oracle Advanced Analytics

Download Oracle Advanced Analytics product report

Download Weka product report

Also Known As

OAA

No data available

Overview

Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop.

Oracle

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

Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.

Information Not Available

Oracle Advanced Analytics vs. Weka