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 4.8% mindshare in DM, compared to Weka’s 8.8% 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

559 Views
559 Comparison Views

60% willing to recommend

Weka

Read 15 Weka reviews

1,553 Views
1,336 Comparison Views

80% 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: March 2026).

Buyer's Guide

Oracle Advanced Analytics vs. Weka

March 2026

Download the complete report

Helped 884,976 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

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Anomaly Detection Tools (1st)

Mindshare comparison

As of March 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 8.8%, down from 21.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
Weka	8.8%
Oracle Advanced Analytics	4.8%
Other	86.4%

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

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.

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

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

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

"One of the valuable features is the ability to pull together multiple sources of information and the tools are easy to use which is the main factor."

"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."

"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."

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

More Oracle Advanced Analytics pros

"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."

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

"My main recommendation is that if you want artificial intelligence, or machine learning, go for an easy and quick tool like Weka, otherwise, any language will have a more expensive entry cost."

"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 is a very easy to use Data Mining solution, great for learning and for doing small experiments before exploring the data deeper, with a large number and diversity of algorithms that make it an excellent solution for rapid testing."

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

"It’s pretty straightforward, it's user-friendly, it’s free, and with YouTube videos, online guides, and e-books on machine learning using Weka, you can quickly learn to use its good interface for data visualization, filtering, and creating different scenarios and instances."

More Weka pros

Cons

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

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

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

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

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

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

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

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

More Oracle Advanced Analytics cons

"Weka could be more stable."

"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."

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

"I'm not sure if it's reliable. It's a little difficult to get results, especially if you are on some other programs like Tableau."

"Scalability and performance are the main aspect of improvement in Weka, since it has the main Java limitations, regarding the JVM."

"With Python and R, you can do anything — you have that confidence, but with Weka, I don't have that confidence."

"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."

More Weka cons

Pricing and Cost Advice

"The solution is priced well."

"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."

"Currently, I am using an open-source version so I don't know much about the price of this solution."

"The solution is free and open-source."

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

884,976 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Educational Organization

17%

University

13%

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	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.

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 22% of the time

SAS Analytics vs Oracle Advanced Analytics

Compared 15% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 11% of the time

IBM SPSS Modeler vs Oracle Advanced Analytics

Compared 11% of the time

KNIME Business Hub vs Oracle Advanced Analytics

Compared 11% of the time

More Oracle Advanced Analytics Competitors

KNIME Business Hub vs Weka

Compared 30% of the time

IBM SPSS Statistics vs Weka

Compared 12% of the time

IBM SPSS Modeler vs Weka

Compared 12% of the time

DataRPM vs Weka

Compared 10% of the time

IBM Smart Analytics vs Weka

Compared 5% of the time

More Weka Competitors

Product Reports

Buyer's Guide

Oracle Advanced Analytics

March 2026

Download Oracle Advanced Analytics product report

Buyer's Guide

Weka

February 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

March 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: March 2026.

DOWNLOAD NOW

884,976 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.