Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Oracle Data Miner

#16 of 26 in Data Science and Machine Learning Platforms

Oracle Data Miner: A visual modeling extension for Oracle teams that prepare, compare, and score models in SQL. Ranked #16 of 26 in Data Science and Machine Learning Platforms by our editors (7.9/10); pricing: Pricing on request; best for oracle Database users doing visual modeling and scoring.

7.9/10Editor score
Oracle Data Miner7.9 Visit Oracle

At a glance

  • Editor score
    7.9 / 10
  • Pricing
    Pricing on request
  • Best for
    Oracle Database users doing visual modeling and scoring
  • Deployment model
    Hybrid
  • Facts checked
    25 Sep 2026
  • Where it wins

    • Drag-and-drop workflows cover data preparation through model evaluation.
    • Compare machine-learning models and score new data with SQL.
    • Schedule repeatable workflows and generate SQL or PL/SQL scripts.
  • Where it doesn't

    • Requires an Oracle Data Miner repository in a supported Oracle Database.
    • Depends on a separately licensed Oracle Database.
    • Its focus is Oracle-centered rather than a broad notebook environment.

Our verdict on Oracle Data Miner

Oracle Data Miner is a graphical extension to Oracle SQL Developer for analysts and data scientists working with Oracle Database data. It brings data exploration, preparation, machine-learning model building, evaluation, comparison, and scoring into visual workflows. That makes it a fit for Oracle Database users who want to build and apply models within their existing database environment, rather than start with a notebook-centered or database-neutral platform.

The workflow editor covers a substantial sequence of modeling tasks: users can graph data with histograms, summary statistics, scatterplots, and boxplots; transform data through binning, recoding, missing-value treatment, and engineered features; and select influential attributes for supervised and unsupervised learning. It can build, test, evaluate, and compare multiple models, then apply models to new data and score data in SQL. Saved workflows can be rerun and scheduled. Generated SQL and PL/SQL scripts, along with a workflow API, also provide ways to invoke work beyond the visual editor. These strengths matter most where Oracle Database is already the center of the analytical process.

Its Oracle dependency is also the main reason to consider alternatives. Installation requires a Data Miner repository in a supported Oracle Database, and the product relies on Oracle Machine Learning capabilities embedded in the database. Oracle Data Miner is separately positioned as a SQL Developer extension, while Oracle Database requires a separate license; according to Oracle's pricing approach, Data Miner itself is contact-sales rather than a standalone published-price product. Integrations include Oracle Database, Oracle Autonomous AI Database, and Oracle Machine Learning for R. Choose it when visual preparation, in-database scoring, and repeatable workflows align with an Oracle estate. Teams seeking a broader notebook environment or a less Oracle-centered workflow should look elsewhere.

Your product? Our editors can test Oracle Data Miner in depth and publish a review, labelled as paid · from $149/mo →

Oracle Data Miner pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 25 Sep 2026.
See plans on oracle.com

Oracle Data Miner fact sheet

Free planNot verified
Paid fromNot verified
Deployment modelHybrid
Notebook environmentNo
AutoMLNo
Model deploymentYes
GPU computeNot verified
Pipeline orchestrationYes
DeploymentSelf-hosted, Desktop
PlatformsWindows, macOS, Linux
SupportDocs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations4 integrations: Oracle SQL Developer, Oracle Database, Oracle Autonomous AI Database, Oracle Machine Learning for R
PricingPricing on request
Websiteoracle.com
Facts checked25 Sep 2026

Oracle Data Miner integrations

Oracle Data Miner lists 4 integrations on its own site.

  • Oracle SQL Developer
  • Oracle Database
  • Oracle Autonomous AI Database
  • Oracle Machine Learning for R

Alternatives to Oracle Data Miner

See all Oracle Data Miner alternatives →

Used Oracle Data Miner? Be the first to review it

The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Oracle Data Miner for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

Write a reviewTwo minutes · verified accounts only · read by an editor before it appears

Reviews come only from verified accounts. Sign in or create an account first — your e-mail is never shown.

Your rating

0 characters · at least 80, up to 3,000

Posted from your verified account. Reviews appear after an editor reads them, usually within two working days.

Featured on iTechGuides

Featured on iTechGuides — Oracle Data Miner 7.9/10

Oracle Data Miner is listed in our Data Science and Machine Learning Platforms directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/oracle-data-miner/"><img src="https://www.itechguides.com/best/badge/oracle-data-miner.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update