Pricing score

7

SAS Visual Data Mining and Machine Learning Pricing Profile

SAS Visual Data Mining and Machine Learning is a machine learning application that provides both visual and programming interfaces for users to execute the entire machine learning pipeline—from data management to model development and deployment—in a simple, automated way.

Key Takeaways

End-to-End Data Science Platform

SAS VDMML supports the entire data science lifecycle, from data preparation and exploration to model building, evaluation, deployment, and monitoring. It helps users to build, train, and validate machine learning models in a streamlined, user-friendly environment.

Visual Interface

SAS VDMML includes a visual interface that makes it easy for users to explore data, build predictive models, and deploy machine learning workflows without the need for extensive coding. The drag-and-drop interface allows users to perform tasks like data wrangling, feature engineering, model training, and evaluation through simple point-and-click actions.

AutoML

AutoML capabilities allow users to quickly generate machine learning models with minimal manual intervention. SAS VDMML can automatically select the best algorithms, optimize hyperparameters, and perform cross-validation to find the best-performing model.

Product Overview

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SAS Visual Data Mining and Machine Learning (VDMML) is a comprehensive software suite provided by SAS (Statistical Analysis System) that enables data scientists, analysts, and machine learning practitioners to perform end-to-end data mining, machine learning, and AI model development tasks.

SAS Visual Data Mining and Machine Learning is designed to help organizations unlock insights from their data and deploy machine learning models into production with ease.

INSIGHTS

Our insights about SAS Visual Data Mining and Machine Learning pricing

01

Demo available

02

Free training

03

Custom quotes

Available Pricing Models

How much does SAS Visual Data Mining and Machine Learning cost?

SAS Visual Data Mining and Machine Learning does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact SAS Visual Data Mining and Machine Learning directly through their website or speak with a sales representative.

What users say about SAS Visual Data Mining and Machine Learning pricing

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Ruchi S.

SAS provides the complete inbuilt algorithm for data curation, macro programming, advanced analytics, AI and machine learning models to through SAS Viya and Visual Data Mining and Machine Learning with just few lines of code.

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Khaled E.

Being cloud based, high Integrability, ease of use to some point, wide range of prebuilt features and tools, robustness and support.

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Deep P.

I am using SAS Viya from last year and it can handle big data very well. I did different reporting and dashboards, super easy to use and quick. I have also used ML functionality of platform and its very powerful as well.

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Kumar S.

It helps the users to visualize data without any effort which makes the work more easy.

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Gaurav A.

Using Sas visual data science studio helped me clean complex and unorganised data for various business analysis and case studies.

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Ruchi S.

SAS provides the complete inbuilt algorithm for data curation, macro programming, advanced analytics, AI and machine learning models to through SAS Viya and Visual Data Mining and Machine Learning with just few lines of code.

avatar

Kumar S.

It helps the users to visualize data without any effort which makes the work more easy.

avatar

Khaled E.

Being cloud based, high Integrability, ease of use to some point, wide range of prebuilt features and tools, robustness and support.

avatar

Gaurav A.

Using Sas visual data science studio helped me clean complex and unorganised data for various business analysis and case studies.

avatar

Deep P.

I am using SAS Viya from last year and it can handle big data very well. I did different reporting and dashboards, super easy to use and quick. I have also used ML functionality of platform and its very powerful as well.

SAS Visual Data Mining and Machine Learning Pricing Rating

Deployment and Monitoring: 4.8/5

SAS VDMML provides tools to deploy models into production environments, making it easier for organizations to operationalize machine learning solutions. Model monitoring tools help track model performance over time, ensuring that deployed models continue to provide accurate and reliable results.

Collaboration and Sharing: 4.7/5

SAS VDMML includes collaborative features, allowing teams of data scientists and analysts to share projects, workflows, and models. This promotes teamwork and helps maintain consistency in model development and deployment.

Scalability and Integratio: 4.9/5

SAS VDMML is designed to handle large-scale data and high-performance computing. It can be deployed on-premises or in the cloud and is optimized for both single-node and distributed environments. It integrates with SAS Viya, a cloud-native architecture that supports high-performance analytics, distributed processing, and scalability.

FAQ on SAS Visual Data Mining and Machine Learning Pricing

Can SAS VDMML be used for deep learning?

Yes, SAS VDMML supports deep learning models, including neural networks for tasks such as image recognition, natural language processing, and time series forecasting. It includes various deep learning architectures and optimization techniques, allowing users to build and train complex models.

What is Automated Machine Learning (AutoML) in SAS VDMML?

AutoML in SAS VDMML automates key tasks in the machine learning pipeline, such as:

- Algorithm selection: Automatically selects the best machine learning algorithm based on the data and task at hand.
- Hyperparameter tuning: Automatically searches for the best set of model hyperparameters.
- Model evaluation: Automatically performs cross-validation and provides performance metrics to select the best model.

Is SAS VDMML suitable for both small and large datasets?

Yes, SAS VDMML is designed to handle large-scale data. It is optimized for distributed computing environments, such as cloud-based platforms (e.g., SAS Viya), and can scale to accommodate massive datasets. It also supports integration with big data technologies like Hadoop and Spark.

Can I use SAS VDMML for data visualization?

Yes, SAS VDMML includes built-in tools for data visualization and exploration. It provides interactive visualizations of data distributions, correlations, and model results, allowing users to easily understand and interpret the data before building models. Additionally, SAS Visual Analytics can be integrated for more advanced reporting and dashboarding.