Oracle Advanced Analytics vs Weka comparison

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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: November 2022).
653,757 professionals have used our research since 2012.
Featured 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.""The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

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

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Cons
"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."

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"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.""Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science.""A few people said it became slow after a while.""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."

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Pricing and Cost Advice
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Questions from the Community
Top Answer:The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic.
Top Answer:I know the company has both enterprise-level pricing and pay-as-you-go type pricing, like any of the cloud-based network solutions. You have to manage your pricing based on the number of users and how… more »
Top Answer:There are some transactions we have not been able to find through the dashboard.
Top Answer: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… more »
Top Answer:I like how the classification and prediction work. We should use Weka because the path is very big and much better. If there are a lot more lines of code, then we should use another language.
Top Answer: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. In this case, it would… more »
Ranking
7th
out of 15 in Data Mining
Views
854
Comparisons
602
Reviews
2
Average Words per Review
269
Rating
8.5
3rd
out of 15 in Data Mining
Views
4,248
Comparisons
2,175
Reviews
9
Average Words per Review
843
Rating
7.6
Comparisons
Also Known As
OAA
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Weka
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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. 

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.
Offer
Learn more about Oracle Advanced Analytics
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Sample Customers
Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
Information Not Available
Top Industries
VISITORS READING REVIEWS
Computer Software Company17%
Comms Service Provider15%
Financial Services Firm9%
Government9%
VISITORS READING REVIEWS
Comms Service Provider18%
Educational Organization16%
University13%
Computer Software Company9%
Company Size
REVIEWERS
Small Business67%
Midsize Enterprise22%
Large Enterprise11%
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise20%
Large Enterprise67%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise18%
Large Enterprise64%
Buyer's Guide
Oracle Advanced Analytics vs. Weka
November 2022
Find out what your peers are saying about Oracle Advanced Analytics vs. Weka and other solutions. Updated: November 2022.
653,757 professionals have used our research since 2012.

Oracle Advanced Analytics is ranked 7th in Data Mining with 2 reviews while Weka is ranked 3rd in Data Mining with 4 reviews. Oracle Advanced Analytics is rated 8.6, while Weka is rated 7.6. The top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". On the other hand, the top reviewer of Weka writes "Can plug in any machine learning algorithm and it works perfectly but needs better visualization ". Oracle Advanced Analytics is most compared with IBM SPSS Statistics, SAS Analytics, IBM SPSS Modeler, KNIME and SAS Enterprise Miner, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, SAS Analytics and SAS Enterprise Miner. See our Oracle Advanced Analytics vs. Weka report.

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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.