Oracle Advanced Analytics vs Weka comparison

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593 views|392 comparisons
55% willing to recommend
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Read 14 Weka reviews
3,444 views|1,605 comparisons
78% willing to recommend
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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: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
AwaisAnwar
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.""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.""Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."

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"The path of machine learning in classification and clustering is useful. The GUI can get you results. No programming is needed. No need to write down your script first or send to your model or input your data.""In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low.""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 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's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data.""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.""Working with complicated algorithms in huge datasets is really easy in Weka.""I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."

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Cons
"There are some transactions we have not been able to find through the dashboard.""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.""The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."

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"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results.""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.""In terms of scalability, I think Weka is not prepared to handle a large number of users.""A few people said it became slow after a while.""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.""Weka could be more stable.""If there are a lot more lines of code, then we should use another language."

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Pricing and Cost Advice
  • "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."
  • "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."
  • "We use the free version now. My faculty is very small."
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    Top Answer:Weka is free and open-source software. That is why I used it over KNIME.
    Top Answer:I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding… more »
    Ranking
    6th
    out of 18 in Data Mining
    Views
    593
    Comparisons
    392
    Reviews
    1
    Average Words per Review
    322
    Rating
    9.0
    2nd
    out of 18 in Data Mining
    Views
    3,444
    Comparisons
    1,605
    Reviews
    6
    Average Words per Review
    407
    Rating
    7.8
    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.
    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
    Government15%
    Manufacturing Company13%
    University13%
    Computer Software Company12%
    VISITORS READING REVIEWS
    University19%
    Educational Organization14%
    Computer Software Company10%
    Financial Services Firm6%
    Company Size
    REVIEWERS
    Small Business70%
    Midsize Enterprise20%
    Large Enterprise10%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    REVIEWERS
    Small Business70%
    Midsize Enterprise10%
    Large Enterprise20%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise18%
    Large Enterprise62%
    Buyer's Guide
    Oracle Advanced Analytics vs. Weka
    May 2024
    Find out what your peers are saying about Oracle Advanced Analytics vs. Weka and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Oracle Advanced Analytics is ranked 6th in Data Mining with 9 reviews while Weka is ranked 2nd in Data Mining with 14 reviews. Oracle Advanced Analytics is rated 8.2, 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 "Open source, good for basic data mining use cases except for the visualization results". Oracle Advanced Analytics is most compared with IBM SPSS Statistics, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, SAS Analytics and Splunk User Behavior Analytics. 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.