Oracle Data MinerOracle
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Oracle Machine LearningOracle
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Related Products
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About
Oracle Data Miner enables data scientists, “citizen data scientists,” and business and data analysts to work directly with data inside the database using a graphical “drag and drop” workflow editor. Oracle Data Miner (ODMr), an extension to Oracle SQL Developer, captures and documents in graphical analytical workflows the steps users take while exploring data and developing machine learning methodologies. ODMr workflows are useful for re-executing analytical methodologies and for sharing insights with team members. ODMr generates SQL and PL/SQL scripts and offers a workflow API for accelerating model deployment throughout the enterprise. Eliminate data movement, achieve big data scalability, preserve security, and accelerate time from model development to model deployment.
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About
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists and data analysts seeking a Data Mining platform to view data
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Audience
Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/data-science/machine-learning/
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Alternatives |
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Categories |
Categories |
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Data Mining Features
Data Extraction
Not Supported
Data Visualization
Not Supported
Fraud Detection
Supported
Linked Data Management
Not Supported
Machine Learning
Not Supported
Predictive Modeling
Supported
Semantic Search
Not Supported
Statistical Analysis
Supported
Text Mining
Not Supported
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Integrations
Apache Hive
Not Supported
Apache Spark
Not Supported
Impala
Not Supported
Kinetica
Not Supported
MySQL
Not Supported
Oracle Cloud Infrastructure
Not Supported
Oracle Database
Not Supported
PwC Check-In
Not Supported
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Integrations
Apache Hive
Supported
Apache Spark
Supported
Impala
Supported
Kinetica
Supported
MySQL
Supported
Oracle Cloud Infrastructure
Supported
Oracle Database
Supported
PwC Check-In
Supported
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