# Top 10 Oracle Data Science Cloud Service Alternatives &amp; Competitors
**Average Rating:** 3.7/5
**Total Number of Reviews:** 6
If you are considering Oracle Data Science Cloud Service, you may also want to investigate similar alternatives or competitors to find the best solution. Data Science and Machine Learning Platforms is a widely used technology, and many people are seeking innovative, popular software solutions with artificial neural networks, computer vision, and drag and drop. Other important factors to consider when researching alternatives to Oracle Data Science Cloud Service include reliability and ease of use. The best overall Oracle Data Science Cloud Service alternative is Amazon SageMaker. Other similar apps like Oracle Data Science Cloud Service are Gemini Enterprise Agent Platform, MATLAB, Posit Team, and IBM Watson Studio. Oracle Data Science Cloud Service alternatives can be found in [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) but may also be in [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) or [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution).


## Best Paid &amp; Free Alternatives to Oracle Data Science Cloud Service
  - [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews)
  - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)
  - [MATLAB](https://www.g2.com/products/matlab/reviews)
  - [Posit Team](https://www.g2.com/products/posit-team/reviews)
  - [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Deepnote](https://www.g2.com/products/deepnote/reviews)
  - [Domo](https://www.g2.com/products/domo/reviews)
  - [Alteryx](https://www.g2.com/products/alteryx/reviews)
  - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

## Top 10 Alternatives to Oracle Data Science Cloud Service Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Oracle Data Science Cloud Service stacks up to the competition, check reviews from current &amp; previous users in industries like Computer Networking, Education Management, and Information Technology and Services, and find the best product for your business.


  ### 1. [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 56
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-oracle-data-science-cloud-service)
**Compare Amazon SageMaker with other alternatives:**
- [Amazon SageMaker vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/amazon-sagemaker-vs-gemini-enterprise-agent-platform)
- [Amazon SageMaker vs MATLAB](https://www.g2.com/compare/amazon-sagemaker-vs-matlab)
- [Amazon SageMaker vs Posit Team](https://www.g2.com/compare/amazon-sagemaker-vs-posit-team)
- [Amazon SageMaker vs IBM Watson Studio](https://www.g2.com/compare/amazon-sagemaker-vs-ibm-watson-studio)
- [Amazon SageMaker vs Databricks](https://www.g2.com/compare/amazon-sagemaker-vs-databricks)
- [Amazon SageMaker vs Deepnote](https://www.g2.com/compare/amazon-sagemaker-vs-deepnote)
- [Amazon SageMaker vs Domo](https://www.g2.com/compare/amazon-sagemaker-vs-domo)
- [Amazon SageMaker vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-sagemaker)
- [Amazon SageMaker vs SAS Viya](https://www.g2.com/compare/amazon-sagemaker-vs-sas-sas-viya)

  ### 2. [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)
By Google
**Average Rating:** 4.3/5
**Total Reviews:** 659
Gemini Enterprise Agent Platform is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Gemini Enterprise Agent Platform Workbench is a cloud-based IDE that is included with Gemini Enterprise Agent Platform. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Gemini Enterprise Agent Platform and Gemini Enterprise Agent Platform Workbench are a powerful combination that can help you accelerate your ML development. With Gemini Enterprise Agent Platform, you can focus on building and training your models, while Gemini Enterprise Agent Platform Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you&#39;re looking for a powerful and easy-to-use ML platform, then Gemini Enterprise Agent Platform is a great option. With Gemini Enterprise Agent Platform, you can build, train, and deploy ML models faster and easier than ever before.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-oracle-data-science-cloud-service)
**Compare Gemini Enterprise Agent Platform with other alternatives:**
- [Gemini Enterprise Agent Platform vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs MATLAB](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-matlab)
- [Gemini Enterprise Agent Platform vs Posit Team](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-posit-team)
- [Gemini Enterprise Agent Platform vs IBM Watson Studio](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-ibm-watson-studio)
- [Gemini Enterprise Agent Platform vs Databricks](https://www.g2.com/compare/databricks-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Deepnote](https://www.g2.com/compare/deepnote-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Domo](https://www.g2.com/compare/domo-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs SAS Viya](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-sas-sas-viya)

  ### 3. [MATLAB](https://www.g2.com/products/matlab/reviews)
By MathWorks
**Average Rating:** 4.5/5
**Total Reviews:** 770
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform&#39;s scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs MATLAB](https://www.g2.com/compare/matlab-vs-oracle-data-science-cloud-service)
**Compare MATLAB with other alternatives:**
- [MATLAB vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-matlab)
- [MATLAB vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-matlab)
- [MATLAB vs Posit Team](https://www.g2.com/compare/matlab-vs-posit-team)
- [MATLAB vs IBM Watson Studio](https://www.g2.com/compare/ibm-watson-studio-vs-matlab)
- [MATLAB vs Databricks](https://www.g2.com/compare/databricks-vs-matlab)
- [MATLAB vs Deepnote](https://www.g2.com/compare/deepnote-vs-matlab)
- [MATLAB vs Domo](https://www.g2.com/compare/domo-vs-matlab)
- [MATLAB vs Alteryx](https://www.g2.com/compare/alteryx-vs-matlab)
- [MATLAB vs SAS Viya](https://www.g2.com/compare/matlab-vs-sas-sas-viya)

  ### 4. [Posit Team](https://www.g2.com/products/posit-team/reviews)
By Posit
**Average Rating:** 4.5/5
**Total Reviews:** 572
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Posit Team](https://www.g2.com/compare/oracle-data-science-cloud-service-vs-posit-team)
**Compare Posit Team with other alternatives:**
- [Posit Team vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-posit-team)
- [Posit Team vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-posit-team)
- [Posit Team vs MATLAB](https://www.g2.com/compare/matlab-vs-posit-team)
- [Posit Team vs IBM Watson Studio](https://www.g2.com/compare/ibm-watson-studio-vs-posit-team)
- [Posit Team vs Databricks](https://www.g2.com/compare/databricks-vs-posit-team)
- [Posit Team vs Deepnote](https://www.g2.com/compare/deepnote-vs-posit-team)
- [Posit Team vs Domo](https://www.g2.com/compare/domo-vs-posit-team)
- [Posit Team vs Alteryx](https://www.g2.com/compare/alteryx-vs-posit-team)
- [Posit Team vs SAS Viya](https://www.g2.com/compare/posit-team-vs-sas-sas-viya)

  ### 5. [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews)
By IBM
**Average Rating:** 4.2/5
**Total Reviews:** 167
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs IBM Watson Studio](https://www.g2.com/compare/ibm-watson-studio-vs-oracle-data-science-cloud-service)
**Compare IBM Watson Studio with other alternatives:**
- [IBM Watson Studio vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-ibm-watson-studio)
- [IBM Watson Studio vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-ibm-watson-studio)
- [IBM Watson Studio vs MATLAB](https://www.g2.com/compare/ibm-watson-studio-vs-matlab)
- [IBM Watson Studio vs Posit Team](https://www.g2.com/compare/ibm-watson-studio-vs-posit-team)
- [IBM Watson Studio vs Databricks](https://www.g2.com/compare/databricks-vs-ibm-watson-studio)
- [IBM Watson Studio vs Deepnote](https://www.g2.com/compare/deepnote-vs-ibm-watson-studio)
- [IBM Watson Studio vs Domo](https://www.g2.com/compare/domo-vs-ibm-watson-studio)
- [IBM Watson Studio vs Alteryx](https://www.g2.com/compare/alteryx-vs-ibm-watson-studio)
- [IBM Watson Studio vs SAS Viya](https://www.g2.com/compare/ibm-watson-studio-vs-sas-sas-viya)

  ### 6. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,335
Making big data simple


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Databricks](https://www.g2.com/compare/databricks-vs-oracle-data-science-cloud-service)
**Compare Databricks with other alternatives:**
- [Databricks vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-databricks)
- [Databricks vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/databricks-vs-gemini-enterprise-agent-platform)
- [Databricks vs MATLAB](https://www.g2.com/compare/databricks-vs-matlab)
- [Databricks vs Posit Team](https://www.g2.com/compare/databricks-vs-posit-team)
- [Databricks vs IBM Watson Studio](https://www.g2.com/compare/databricks-vs-ibm-watson-studio)
- [Databricks vs Deepnote](https://www.g2.com/compare/databricks-vs-deepnote)
- [Databricks vs Domo](https://www.g2.com/compare/databricks-vs-domo)
- [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks)
- [Databricks vs SAS Viya](https://www.g2.com/compare/databricks-vs-sas-sas-viya)

  ### 7. [Deepnote](https://www.g2.com/products/deepnote/reviews)
By Deepnote
**Average Rating:** 4.5/5
**Total Reviews:** 382
Deepnote is a new kind of data science notebook. Real-time collaboration, zero setup, and completely cloud-based.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Deepnote](https://www.g2.com/compare/deepnote-vs-oracle-data-science-cloud-service)
**Compare Deepnote with other alternatives:**
- [Deepnote vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-deepnote)
- [Deepnote vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/deepnote-vs-gemini-enterprise-agent-platform)
- [Deepnote vs MATLAB](https://www.g2.com/compare/deepnote-vs-matlab)
- [Deepnote vs Posit Team](https://www.g2.com/compare/deepnote-vs-posit-team)
- [Deepnote vs IBM Watson Studio](https://www.g2.com/compare/deepnote-vs-ibm-watson-studio)
- [Deepnote vs Databricks](https://www.g2.com/compare/databricks-vs-deepnote)
- [Deepnote vs Domo](https://www.g2.com/compare/deepnote-vs-domo)
- [Deepnote vs Alteryx](https://www.g2.com/compare/alteryx-vs-deepnote)
- [Deepnote vs SAS Viya](https://www.g2.com/compare/deepnote-vs-sas-sas-viya)

  ### 8. [Domo](https://www.g2.com/products/domo/reviews)
By Domo
**Average Rating:** 4.3/5
**Total Reviews:** 1,011
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence &amp; Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security &amp; Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Domo](https://www.g2.com/compare/domo-vs-oracle-data-science-cloud-service)
**Compare Domo with other alternatives:**
- [Domo vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-domo)
- [Domo vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/domo-vs-gemini-enterprise-agent-platform)
- [Domo vs MATLAB](https://www.g2.com/compare/domo-vs-matlab)
- [Domo vs Posit Team](https://www.g2.com/compare/domo-vs-posit-team)
- [Domo vs IBM Watson Studio](https://www.g2.com/compare/domo-vs-ibm-watson-studio)
- [Domo vs Databricks](https://www.g2.com/compare/databricks-vs-domo)
- [Domo vs Deepnote](https://www.g2.com/compare/deepnote-vs-domo)
- [Domo vs Alteryx](https://www.g2.com/compare/alteryx-vs-domo)
- [Domo vs SAS Viya](https://www.g2.com/compare/domo-vs-sas-sas-viya)

  ### 9. [Alteryx](https://www.g2.com/products/alteryx/reviews)
By Alteryx
**Average Rating:** 4.6/5
**Total Reviews:** 856
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs Alteryx](https://www.g2.com/compare/alteryx-vs-oracle-data-science-cloud-service)
**Compare Alteryx with other alternatives:**
- [Alteryx vs Amazon SageMaker](https://www.g2.com/compare/alteryx-vs-amazon-sagemaker)
- [Alteryx vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/alteryx-vs-gemini-enterprise-agent-platform)
- [Alteryx vs MATLAB](https://www.g2.com/compare/alteryx-vs-matlab)
- [Alteryx vs Posit Team](https://www.g2.com/compare/alteryx-vs-posit-team)
- [Alteryx vs IBM Watson Studio](https://www.g2.com/compare/alteryx-vs-ibm-watson-studio)
- [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks)
- [Alteryx vs Deepnote](https://www.g2.com/compare/alteryx-vs-deepnote)
- [Alteryx vs Domo](https://www.g2.com/compare/alteryx-vs-domo)
- [Alteryx vs SAS Viya](https://www.g2.com/compare/alteryx-vs-sas-sas-viya)

  ### 10. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
By SAS Institute Inc.
**Average Rating:** 4.3/5
**Total Reviews:** 801
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.


Categories in common with Oracle Data Science Cloud Service: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Oracle Data Science Cloud Service vs SAS Viya](https://www.g2.com/compare/oracle-data-science-cloud-service-vs-sas-sas-viya)
**Compare SAS Viya with other alternatives:**
- [SAS Viya vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-sas-sas-viya)
- [SAS Viya vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-sas-sas-viya)
- [SAS Viya vs MATLAB](https://www.g2.com/compare/matlab-vs-sas-sas-viya)
- [SAS Viya vs Posit Team](https://www.g2.com/compare/posit-team-vs-sas-sas-viya)
- [SAS Viya vs IBM Watson Studio](https://www.g2.com/compare/ibm-watson-studio-vs-sas-sas-viya)
- [SAS Viya vs Databricks](https://www.g2.com/compare/databricks-vs-sas-sas-viya)
- [SAS Viya vs Deepnote](https://www.g2.com/compare/deepnote-vs-sas-sas-viya)
- [SAS Viya vs Domo](https://www.g2.com/compare/domo-vs-sas-sas-viya)
- [SAS Viya vs Alteryx](https://www.g2.com/compare/alteryx-vs-sas-sas-viya)


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