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 with an average rating of 10.0. Oracle holds a 4.8% mindshare in DM, compared to Weka’s 8.0% mindshare. Additionally, 60% of Oracle users are willing to recommend the solution, compared to 80% of Weka users who would recommend it.

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

642 Views
636 Comparison Views

60% willing to recommend

Weka

Read 15 Weka reviews

1,574 Views
1,338 Comparison Views

80% 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: April 2026).

Buyer's Guide

Oracle Advanced Analytics vs. Weka

April 2026

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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

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (1st)

Mindshare comparison

As of April 2026, in the Data Mining category, the mindshare of Oracle Advanced Analytics is 4.8%, up from 4.0% compared to the previous year. The mindshare of Weka is 8.0%, down from 20.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
Weka	8.0%
Oracle Advanced Analytics	4.8%
Other	87.2%

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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reviewer1522338

Phd at a educational organization with 51-200 employees

Using data mining and visualization has improved my research and student learning process

In my opinion, Weka is very useful. I think perhaps a new function with a new algorithm in data mining could be developed. The algorithms currently available in Weka are very good, and all functions are very useful. I have found that I need to use Weka with R and different databases, which has been very useful for me. I am satisfied with Weka's visualization tool. Weka is very easy to use, is very complete, and provides many benefits to the end user. It has many algorithms in data mining and many algorithms to prepare data for the next process in data mining. Weka has many graphical interfaces, though it may not have as many tools for analyzing results.

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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

"Oracle is number one in the world for security, safety, and privacy."

"When it comes to data mining, I am acquainted with most or all of the Oracle tools and have had a positive experience with them."

"Oracle Data Mining provides a powerful functionality as it enables users to discover new insights hidden in data."

"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."

"Viewing the data on the Dashboard with charts is a great option this tool provides."

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

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

"Easy to use, simple, with a quick learning curve."

More Oracle Advanced Analytics pros

"If they want their task done faster, and they do not have enough coding expertise, this is definitely an excellent solution to choose from."

"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."

"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."

"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."

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

"Weka is just much better for the classification path and clustering path; if you are going with some predictions that a procedure recalls, it's better than any other tool like R Programming and Python."

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

More Weka pros

Cons

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

"I would like to see an improvement in the ease of implementing customized data sources and the like."

"Since a separate Oracle database is needed, the data loading and cleansing the raw data can be a time consuming process."

"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."

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

"Basic capabilities, less professional than would be expected from a company dealing with databases as a core business."

More Oracle Advanced Analytics cons

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

"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."

"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."

"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."

"The solution doesn’t really have very good technical support."

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

"Weka is not horizontally scalable. If I had to run a large dataset over Weka I would have to have a very large usage."

"The filter section lacks some specific transformation tools."

More Weka cons

Pricing and Cost Advice

"The solution is priced well."

"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."

"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."

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Top Industries

By visitors reading reviews

No data available

Educational Organization

17%

University

10%

Comms Service Provider

Computer Software Company

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	8
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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Compared 11% of the time

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Product Reports

Buyer's Guide

Oracle Advanced Analytics

March 2026

Download Oracle Advanced Analytics product report

Buyer's Guide

Weka

March 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

April 2026

Free Report: Oracle Advanced Analytics vs. Weka

Find out what your peers are saying about Oracle Advanced Analytics vs. Weka and other solutions. Updated: April 2026.

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