Oracle Advanced Analytics vs Weka comparison

Oracle and Weka are both solutions in the Data Mining category. Oracle is ranked #6 with an average rating of 8.0, while Weka is ranked #4. Oracle holds a 4.2% mindshare in DM, compared to Weka’s 9.7% mindshare. Additionally, 60% of Oracle users are willing to recommend the solution, compared to 78% of Weka users who would recommend it.

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

442 Views
442 Comparison Views

60% willing to recommend

Weka

Read 14 Weka reviews

1,528 Views
1,360 Comparison Views

78% willing to recommend

Oracle Advanced Analytics

Weka

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Executive SummaryUpdated on May 21, 2025

Oracle Advanced Analytics and Weka compete in data analysis tools. Oracle holds an advantage in large-scale enterprise data integration, while Weka excels with machine learning algorithms and flexibility.

Features: Oracle Advanced Analytics is known for enterprise-grade data management, predictive analytics, and robust security features. Weka offers a variety of machine learning algorithms, easy integration of new algorithms, and a strong open-source model allowing educational flexibility.

Room for Improvement: Oracle could enhance its deployment ease and integration beyond its ecosystem. Improved user interface design would be beneficial for Weka, along with enhanced data visualization and user support for enterprise solutions.

Ease of Deployment and Customer Service: Oracle requires substantial resources for deployment but provides comprehensive support services. Weka offers simple deployment with community-driven support, although it lacks formal customer service frameworks.

Pricing and ROI: Oracle has a higher setup cost, justified by scalability and potential ROI from business insights. Weka's open-source nature leads to lower setup costs, suitable for smaller budgets seeking flexible machine learning solutions.

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

Buyer's Guide

Oracle Advanced Analytics vs. Weka

December 2025

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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

8.0

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Weka

Ranking in Data Mining

4th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (2nd)

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of Oracle Advanced Analytics is 4.2%, up from 3.9% compared to the previous year. The mindshare of Weka is 9.7%, down from 21.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
Weka	9.7%
Oracle Advanced Analytics	4.2%
Other	86.1%

Data Mining

Featured Reviews

reviewer2174289

External Consultant at a consultancy with 51-200 employees

Customization and centralization improve efficiency despite complex user interface

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 we're used to doing, so that's no problem for us. It is not a really easy product to use, so you have to do a lot of configuration. The user interface is somewhat complex, and while they're working on that, for the end-user it is not really intuitive, so that could be improved. Currently, we are not using the predictive analytics capabilities, so I cannot say anything about it.

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Xavier Suriol

Manager at XS AMSAFIS DATASETS, S.L.

A good solution offering a range of tools but is limited by its user-handling capacities

In a new machine learning job, if the method is a bit foreign to me, if I have to do it in R, it could be a tedious task. First, I need to identify the libraries required for the new methodology. This can involve identifying two, three, or even four libraries. Then, I need to read their manuals thoroughly. This is time-consuming. In Weka, as all machine learning tools are on my desktop, I easily find out the method. As a freelancer, people send me datasets, and I work on the statistics at home before providing the solution. When a solution needs to be implemented on a server, server programmers install it on the server. This is similar to Power BI, where I prepare files on my desktop, and someone else uploads them to the server for others to access. I think I cannot send a Weka solution to a server programmer. In Weka, anyone can run the program without being a programmer, which is a good feature since the entry cost is very low.

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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

"Ability to pull together multiple sources of information."

"Oracle Advanced Analytics helps us to steer the company, to create centralized reports and dashboards so that we're all using the same information, and we're not relying that much on Excel and different custom reporting solutions."

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

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

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

"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."

"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."

"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."

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

"It is a stable product."

"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."

"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."

More Weka pros

Cons

"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."

"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."

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

"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."

"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."

"A few people said it became slow after a while."

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

"Weka could be more stable."

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

More Weka cons

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

Educational Organization

15%

University

15%

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	1

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	2

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.

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What needs improvement with Oracle Advanced Analytics?

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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...

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Comparisons

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Compared 22% of the time

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Compared 16% of the time

KNIME Business Hub vs Oracle Advanced Analytics

Compared 16% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 11% of the time

IBM SPSS Modeler vs Oracle Advanced Analytics

Compared 10% of the time

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KNIME Business Hub vs Weka

Compared 40% of the time

IBM SPSS Statistics vs Weka

Compared 12% of the time

IBM SPSS Modeler vs Weka

Compared 11% of the time

Elastic Search vs Weka

Compared 7% of the time

SAS Analytics vs Weka

Compared 4% of the time

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Product Reports

Buyer's Guide

Oracle Advanced Analytics

January 2026

Download Oracle Advanced Analytics product report

Buyer's Guide

Weka

January 2026

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.

Weka

Sample Customers

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

Information Not Available

Buyer's Guide

Oracle Advanced Analytics vs. Weka

December 2025

Free Report: Oracle Advanced Analytics vs. Weka

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