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

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 880,901 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

8.0

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.

Read full review

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.

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

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

"Ability to pull together multiple sources of information."

"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."

"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."

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

"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 doesn’t cost anything to use the product."

"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."

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

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

More Weka pros

Cons

"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."

"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."

"In terms of scalability, I think Weka is not prepared to handle a large number of users."

"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."

"Weka could be more stable."

"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."

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

"Not particularly user friendly."

"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

"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."

"The solution is free and open-source."

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

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

See recommendations

880,901 professionals have used our research since 2012.

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.

See all answers

What needs improvement with Oracle Advanced Analytics?

See all answers

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...

See all answers

Ask a question

Earn 20 points

Comparisons

OpenText Intelligent Classification vs Oracle Advanced Analytics

Compared 21% of the time

SAS Analytics vs Oracle Advanced Analytics

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

More Oracle Advanced Analytics Competitors

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

DataRPM vs Weka

Compared 6% of the time

More Weka Competitors

Product Reports

Buyer's Guide

Oracle Advanced Analytics

January 2026

Download Oracle Advanced Analytics product report

Buyer's Guide

Weka

December 2025

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

Find out what your peers are saying about Oracle Advanced Analytics vs. Weka and other solutions. Updated: December 2025.

DOWNLOAD NOW

880,901 professionals have used our research since 2012.

See our Oracle Advanced Analytics vs. Weka report.

See our list of best Data Mining vendors.

We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.