--- title: SAS Data Management Reviews meta_title: 'SAS Data Management Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 100 reviews by the users' company size, role or industry to find out how SAS Data Management works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 100 scale: '5' date_modified: '2026-07-17' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # SAS Data Management Reviews **Vendor:** SAS Institute Inc. **Category:** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) **Average Rating:** 4.1/5.0 **Total Reviews:** 100 ## About SAS Data Management SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes. ## SAS Data Management Pros & Cons **What users like:** - Users find the **ease of use** of SAS Data Management instrumental for effective data preparation and transformation. (12 reviews) - Users value the **user-friendly data transformation tools** in SAS Data Management, simplifying data preparation significantly. (5 reviews) - Users value the **robust data cleaning tools** in SAS Data Management, enhancing accuracy and consistency throughout analytics projects. (4 reviews) - Users find that **SAS Data Quality streamlines data preparation** , ensuring business-ready analytics and improving overall data standards. (4 reviews) - Users value the **strong data transformation capabilities** of SAS Data Management, ensuring effective data manipulation and quality control. (3 reviews) - Data Preparation (3 reviews) - Automation (2 reviews) - Customer Support (2 reviews) - Data Accuracy (2 reviews) - Data Integration (2 reviews) **What users dislike:** - Users find the **expensive cost** of SAS Data Management to be a major barrier to access and integration. (7 reviews) - Users find SAS Data Management to have a **not user-friendly interface** , making navigation difficult for less experienced individuals. (3 reviews) - Users face **slow performance** when handling large datasets, causing frustration and increased time consumption for reports. (3 reviews) - Users find that **training is required** to effectively navigate the complexities of SAS Data Management, especially for non-technical individuals. (3 reviews) - Users find the **complexity** of SAS Data Management challenging, requiring advanced statistical knowledge to navigate effectively. (2 reviews) - Users face **integration issues** in SAS Data Management, struggling with deployment operations and environmental transitions. (2 reviews) - Poor Documentation (2 reviews) - Steep Learning Curve (2 reviews) - Users note **complexity issues** with SAS Data Management, especially regarding scheduling and integration challenges. (1 reviews) - Data Management (1 reviews) ## SAS Data Management Discussions - [What is SAS Data Governance used for?](https://www.g2.com/discussions/what-is-sas-data-governance-used-for) - [What is SAS Scoring Accelerator used for?](https://www.g2.com/discussions/what-is-sas-scoring-accelerator-used-for) - [View SAS Data Management pricing details and edition comparison](https://www.g2.com/products/sas-data-management/reviews?page=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-01+07%3A54%3A40+-0500&secure%5Bsession_id%5D=e47edac0-3c2a-469c-a0b2-f8ff7c77b453&secure%5Btoken%5D=5ca7c98b9a10d4ebcbb57095c51082d3140da73157fe75debeb9362e76ad12dd&format=llm_user) ## SAS Data Management Integrations - [SAS Enterprise Guide](https://www.g2.com/products/sas-enterprise-guide/reviews) ## SAS Data Management Features **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Security** - Access Control - Roles Management - Compliance Management **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Data Quality** - Data Preparation - Data Distribution - Data Unification **Maintainence** - Data Quality Management - Policy Management **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization ## Top SAS Data Management Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (711 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,326 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (855 reviews)