Oracle Data MinerOracle
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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
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
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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
Companies interested in a low-code data pipeline platform
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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
Not 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
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
Not 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 InformationUpsolver
Founded: 2014
Israel
www.upsolver.com
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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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Big Data Features
Collaboration
Not Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Not Supported
Templates
Not Supported
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Integrations
AWS IoT SiteWise
Not Supported
Eco
Not Supported
Hive
Not Supported
Micromerce
Not Supported
PuppyGraph
Not Supported
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Integrations
AWS IoT SiteWise
Supported
Eco
Supported
Hive
Supported
Micromerce
Supported
PuppyGraph
Supported
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