Data Mining Software

Oracle Data Mining

Oracle tool for data scientists and analysts to build machine learning models in SQL Developer

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TrustList summary

Oracle Data Mining is Oracle's data mining product, now presented through Oracle Data Miner, an extension to Oracle SQL Developer. It lets analysts work with data inside the database and forecast outcomes such as customer buying interests and fraud.

What Oracle Data Mining offers

Graphical workflows: a drag-and-drop editor records the analytical steps taken so they can be repeated and shared.
Model building: builds several machine learning models at once and compares them, including test data splits and lift charts.
Data preparation: nodes for binning, recoding, missing values and engineered features.
Attribute selection: a column filter that finds the most influential attributes.
Deployment: generates SQL and PL/SQL scripts and has a workflow API.

Customers and markets

Data scientists, so-called citizen data scientists, and business and data analysts.

Key facts

Platform: extension to Oracle SQL Developer
Data types: structured tables and views, text, transactional, spatial and graph data
Integration: open source R functions can run in the database

Summary written by TrustList from the business's own published information, Oct 2026.

Gallery

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Categories & features

Rankings

Oracle Data Mining is ranked on 2 TrustList rankings: #1 on 2.

Every ranking orders its listings by their reviews, how complete the profile is and the Trust Score. Oracle Data Mining has no reviews yet and 3 of the 10 profile details we look for. Where no listing on a page has been reviewed, the order follows the profiles alone.

Data mining software · 2 rankings

On each of these it sits ahead of Piperr.

#1of 7
Statistical analysis
It is one of 4 here listing fraud detection and one of 6 here listing predictive modeling.
Of the 7 here, 6 also cover predictive modeling and 6 also cover data visualization.
#1of 6
Predictive modeling
It is one of 4 here listing fraud detection.
Of the 6 here, 5 also cover machine learning and 5 also cover text mining.