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SAS Model Manager Review: Is It The Right Machine Learning Software For Your Team?

Best for SMB teams · Mid-market · Enterprise

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SAS Model Manager offers custom pricing plan

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What is SAS Model Manager?

SAS offers data and AI solutions that provide global customers with reliable insights in critical moments, driving innovation across various industries. SAS Model Manager connects data scientists, MLOps engineers, and stakeholders while integrating with open-source tools to accelerate model deployment. It simplifies model management by unifying model assets, allowing users to track projects, models, and supporting documents easily. SAS Model Manager helps users organize and navigate their modeling history and versions quickly and responsibly. Deployment is made simple and efficient, allowing users to package models for various environments—whether in the cloud, on-premises, or in-database—ensuring no time is wasted in getting models into action.

Pricing

  • SAS Model Manager offers custom pricing plan

  • Free Trial available

Best For

Suited for small teams, SMBs, and enterprise

Security & Compliance

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    SAS Model Manager Software Demo

    SAS Model Manager 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 SAS Model Manager

    Use cases
    Financial services, Healthcare analytics, Retail demand forecasting
    Team types
    Data scientists, MLOps engineers
    Company size
    51-500 employees, 500+ employees
    Workflow style
    Flexible and configurable
    Setup complexity
    Medium

    Why teams choose SAS Model Manager

    • Integration with open-source tools for model deployment

    • Unified management of model assets and documentation

    • Collaboration features connecting data scientists and stakeholders

    Is SAS Model Manager right for you?

    Best for enterprises needing unified, collaborative AI model management and deployment.

    Choose SAS Model Manager if

    • You require integration with open-source tools for seamless model deployment.
    • Your team includes data scientists, MLOps engineers, and AI project managers collaborating closely.
    • You need centralized tracking and management of model assets and documentation across projects.

    Consider alternatives if

    • You are a startup without a dedicated data science team or limited technical resources.
    • You prefer low-code or no-code platforms for quick, simple model deployment.
    Pros and cons

    SAS Model Manager pros and cons

    • SAS Model Manager pros
    • Integration with open-source tools for model deployment

    • Unified management of model assets and documentation

    • Collaboration features connecting data scientists and stakeholders

    • SAS Model Manager cons
    • Pricing is not publicly available and requires quotation

    • Limited information on user ratings and feedback

    Free trial available

    Ready to try it?

    Get started with SAS Model Manager

    Start your free trial — no credit card required.

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    Compare SAS Model Manager side-by-side with top Machine Learning Software alternatives.

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    What is the pricing of SAS Model Manager?

    SAS Model Manager uses custom pricing — plans are tailored to your team size and needs. Contact them for a quote.

    Free TrialAvailableTry Now →
    PricingSAS Model Manager offers custom pricing
    Pricing Model
    Quotation Based

    Weighing your options?

    Not sure if SAS Model Manager fits your budget?

    SAS Model Manager reviews and ratings

    Buyer sentiment

    Insufficient public user reviews to determine overall sentiment.

    What buyers like

    • Integration capabilities
    • Model management features
    • Collaboration support

    Common complaints

    • Pricing opacity
    • Complexity of setup

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    What are the features of SAS Model Manager?

    31%

    Feature coverage

    9 of 29 tracked features

    API integration is a feature that allows different software systems, platforms, or applications to seamlessly communicate with each other. I…

    People can collaborate more easily with the help of collaboration tools. The goal of a collaboration tool is to help a group of two or more…

    Managers plan, coordinate, regulate, and lead operations that assure compliance with laws and standards through compliance management. It is…

    Data preprocessing is the essential step of preparing raw data for analysis or model training. It involves tasks such as eliminating duplica…

    Data ingestion is the process of collecting and importing data into the software. This allows the system to gather information from various…

    Model monitoring refers to continuously checking the performance of AI models after deployment. During model monitoring, various metrics are…

    Generative learning is the process of teaching an AI model to produce new content, such as images, text, or music, by learning from a large…

    Model deployment is the process of taking a trained AI model and making it available for use in real-world applications. Once the model has…

    Model development involves the process of creating, training, and refining machine learning models that can generate new content or insights…

    Security & Compliance

    SAS Model Manager security and data handling

    Key compliance certifications and security features for IT and security teams evaluating SAS Model Manager.

    Certifications

    SOC 2✓ Certified

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    SAS Model Manager Customers

    Georgia-Pacific-logo

    Georgia-Pacific

    S Bank-logo

    S Bank

    Help & Contact

    SAS Model Manager Support Options

    Customer ServiceOnline24/7 (Live rep)
    LocationCary, NC

    Connect with SAS Model Manager

    Frequently Asked Questions About SAS Model Manager

    Common questions buyers ask before choosing SAS Model Manager.

    SAS Model Manager is a Machine Learning Software. SAS Model Manager offers Model Development, Generative learning, Model Deployment, Collaboration Tools, API Integration and many more functionalities.

    SAS Model Manager is a strong fit if: You require integration with open-source tools for seamless model deployment.; Your team includes data scientists, MLOps engineers, and AI project managers collaborating closely.. Consider alternatives if: You are a startup without a dedicated data science team or limited technical resources.; You prefer low-code or no-code platforms for quick, simple model deployment..

    Buyers commonly note the following limitations of SAS Model Manager: Pricing is not publicly available and requires quotation; Limited information on user ratings and feedback; Potentially complex setup for smaller teams.

    Some top alternatives to SAS Model Manager includes Arthur, Iguazio, Fiddler AI, Datatron and Picsellia.

    SAS Model Manager offers Free Trial, Quotation Based pricing models

    We don't have information regarding integrations of the SAS Model Manager as of now.

    The starting price is not disclosed by SAS Model Manager. You can visit SAS Model Manager pricing page to get the latest pricing.

    Ready to try it?

    Get started with SAS Model Manager

    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].