What does Oracle Data Science Cloud Service offer?

Oracle Data Science Cloud Service is a cloud-based end-to-end machine learning platform that allows data science teams to collaborate and access the necessary data, computational resources, and tools for model building, training, deployment, and managing models in the Oracle Cloud. It supports ML frameworks like TensorFlow and scikit-learn, with the possibility to install any other open-source packages. With this service you can code, train, and deploy ML models on the performance efficient Oracle Cloud Infrastructure

Is Oracle Data Science Cloud Service right for my team?

Oracle Data Science Cloud Service is built primarily for Large Enterprises, Medium Business, Small Business, so it's worth checking that against your own team profile before committing. A free trial is available, so you can test it with real data first.

Oracle Data Science Cloud Service Comparison

Last updated: May 18, 2026

Oracle Data Science Cloud Service

3.7(6 reviews)

Starting at Contact for pricing

Free Trial
Large Enterprises
Medium Business

Oracle Data Science Cloud Service is a cloud-based end-to-end machine learning platform that allows data science teams to collaborate and access the necessary data, computational resources, and tools for model building,…

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Oracle Data Science Cloud Service — find the better fit before you commit.

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Where each product wins, per real buyers

Most Data Science and Machine Learning Platforms tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

Biggest differences

Features

Pricing

Buying details

Security

Buyer feedback

Integrations

Product tour

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Oracle Data Science Cloud Service: Biggest differences

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Start here before you go deeper into features.

Oracle Data Science Cloud Service

Best for enterprise teams needing flexible, collaborative ML on Oracle Cloud.

Choose if

You require deep integration with Oracle Cloud infrastructure for model deployment.
Your data science team needs to collaborate using popular ML frameworks like TensorFlow.
You want flexibility to install and manage any open-source machine learning packages.

Consider alternatives if

You are a small team without existing cloud infrastructure or complex ML needs.
You prefer fully managed, no-code machine learning platforms with transparent pricing.

Description	Oracle Data Science Cloud Service is a cloud-based end-to-end machine learning platform that allows data science teams to collaborate and access the necessary data, computational resources, ... Read More about Oracle Data Science Cloud Service
Free Trial Availability	Free Trial available
User Ratings Based on verified Spotsaas reviews	3.67 (6)
Best Company Size	Medium BusinessLarge Enterprises
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Oracle Data Science Cloud Service Features

Total Features	7 Features
Unique Features	No unique features
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Oracle Data Science Cloud Service Pricing and trial details

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option
Pricing Plans	Not Available
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Oracle Data Science Cloud Service: Other Details

Organization Types supported	Small Business Large Enterprises Medium Business Freelancers Individuals
Platforms Supported	Browser Based (Cloud) Browser Based (Cloud) Mobile - Android Mobile - iOS Installed - Windows Installed - Mac
Modes of support	24/7 (Live rep) Business Hours Online
API Support	Available
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Oracle Data Science Cloud Service Security & Compliance

Certifications, data handling, and security controls for IT and compliance evaluators.

SOC 2	✓ Yes	—
HIPAA	✓ Yes	—
GDPR	✓ Yes	—
ISO 27001	✓ Yes	—
Single Sign-On (SSO)	✓ Yes	—
Multi-Factor Auth (MFA)	✓ Yes	—
Data Encryption	✓ Yes	—
Audit Logs	✓ Yes	—
Data Residency	🌐 Global	—

User Reviews & Rating Comparison

User Ratings	3.67 (based on 6 reviews)
Rating Distribution	1 4 1 0 0
Spotsaas Editor’s POV generated by AI	Buyer sentiment User sentiment is mixed with appreciation for framework support and collaboration but concerns over pricing and complexity. What buyers like Framework support Collaboration features Cloud integration Common complaints Pricing transparency Complexity of setup
Pros and Cons	Supports popular ML frameworks like TensorFlow and scikit-learn Enables collaboration across data science teams Integration with Oracle Cloud infrastructure for efficient model training and deployment Limited pricing transparency with quotation-based model Relatively low number of user reviews and moderate rating
Positive Reviews	No reviews available for the product
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