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Oracle Data Science Cloud Service - New SaaS Software

Oracle Data Science Cloud Service Review: Is It The Right Data Science and Machine Learning Platforms For Your Team?

Best for SMB teams · Mid-market · Enterprise

Free Trial & Free Plan Available

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Oracle Data Science Cloud Service offers custom pricing plan

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What is Oracle Data Science Cloud Service?

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

Pricing

  • Oracle Data Science Cloud Service offers custom pricing plan

  • Free Trial available

Best For

Suited for small teams, SMBs, and enterprise

Security & Compliance

SOC 2
GDPR
HIPAA
ISO 27001
  • SSO & MFA supported

  • Data residency:Global

Oracle Data Science Cloud Service was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.

Who should consider Oracle Data Science Cloud Service

Use cases
Enterprise machine learning model development, Collaborative data science projects, Cloud-based AI deployment
Team types
Data science teams, Machine learning engineers
Company size
Medium Business, Large Enterprises
Workflow style
Flexible and configurable
Setup complexity
Medium

Why teams choose Oracle Data Science Cloud Service

  • 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

Is Oracle Data Science Cloud Service right for you?

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

Choose Oracle Data Science Cloud Service 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.

What buyers should know before choosing Oracle Data Science Cloud Service

Oracle Data Science Cloud Service provides a comprehensive environment for data science teams to collaborate effectively. Its support for various ML frameworks and tools makes it a robust choice for enterprises.

Pros and cons

Oracle Data Science Cloud Service pros and cons

  • Oracle Data Science Cloud Service pros
  • 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

  • Oracle Data Science Cloud Service cons
  • Limited pricing transparency with quotation-based model

  • Relatively low number of user reviews and moderate rating

3.7/5 rating
6 verified reviews
Free trial available

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Still comparing?

See how it stacks up

Compare Oracle Data Science Cloud Service side-by-side with top Data Science and Machine Learning Platforms alternatives.

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What is the pricing of Oracle Data Science Cloud Service?

Oracle Data Science Cloud Service uses custom pricing — plans are tailored to your team size and needs. Contact them for a quote.

Free TrialAvailableTry Now →
Free Plan✓ Included
PricingOracle Data Science Cloud Service offers custom pricing
Pricing Model
FreemiumOpen-sourceQuotation Based

Weighing your options?

Not sure if Oracle Data Science Cloud Service fits your budget?

Oracle Data Science Cloud Service reviews and ratings

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

3.67

Very Good

Based on 6 ratings & 6 reviews

Are you using Oracle Data Science Cloud Service?

Rating Distribution

Excellent

(1)

Very Good

(4)

Good

(1)

Poor

(0)

Terrible

(0)

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What are the features of Oracle Data Science Cloud Service?

26%

Feature coverage

7 of 27 tracked features

The access control structure is a crucial characteristic that distinguishes a digital asset management system from other storage systems. Yo…

Collaboration has received a lot of attention in the marketing world recently. It's taking off in a big way but still has many questions sur…

Lifecycle Management is a business management technique that may be used to improve the sustainability performance of all types of businesse…

Machine learning is a powerful technology that allows computers to learn and improve from data without being explicitly programmed. This inn…

Monitoring is a crucial feature of software applications that allows users to track and analyze the performance of their systems and applica…

A self-service portal is a website or app that enables workers (or external clients for externally visible support providers) to help themse…

Version control, often known as source control, tracks and manages changes to digital asset management software code. Version control system…

Security & Compliance

Oracle Data Science Cloud Service security and data handling

Key compliance certifications and security features for IT and security teams evaluating Oracle Data Science Cloud Service.

Certifications

SOC 2✓ Certified
GDPR✓ Certified
HIPAA✓ Certified
ISO 27001✓ Certified
FedRAMP✓ Certified

Security features

Single Sign-On (SSO)✓ Yes
Multi-Factor Authentication✓ Yes
Data Encryption✓ Yes
Audit Logs✓ Yes

Developer & data

Data residency
🌐

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Help & Contact

Oracle Data Science Cloud Service Support Options

Customer Service24/7 (Live rep)Online
Location+1.800.633.0738

Frequently Asked Questions About Oracle Data Science Cloud Service

Common questions buyers ask before choosing Oracle Data Science Cloud Service.

Oracle Data Science Cloud Service is a Data Science and Machine Learning Platforms. Oracle Data Science Cloud Service offers Version Control, Lifecycle Management, Self Service Portal, Monitoring, Machine Learning and many more functionalities.

Oracle Data Science Cloud Service is a strong fit 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.. 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..

Buyers commonly note the following limitations of Oracle Data Science Cloud Service: Limited pricing transparency with quotation-based model; Relatively low number of user reviews and moderate rating; Requires technical expertise to install additional open-source packages.

Some top alternatives to Oracle Data Science Cloud Service includes DataTorch, Qualified, Workvivo, Deploifai and IFTTT.

Oracle Data Science Cloud Service offers Free Trial, Freemium, Open-source, Quotation Based pricing models

We don't have information regarding integrations of the Oracle Data Science Cloud Service as of now.

The starting price is not disclosed by Oracle Data Science Cloud Service. You can visit Oracle Data Science Cloud Service pricing page to get the latest pricing.

Ready to try it?

Get started with Oracle Data Science Cloud Service

Start your free trial — no credit card required.

About the reviewer

Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].