--- 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: '2026-08-09' 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 Reviews ### 1. Accessing Preparing and Analysing the DATA **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** July 10, 2024 **What do you like best about SAS Data Management?** As in SAS DATA preparation their are three compnent SAS Data explorer ,SAS Studio ,SAS Lineage As my favrouirt is SAs studio its mostly usefull for cleaning trannsforming data which can be done without complex coding it has different transformation which are very usefull for anlaysing preparing data join the data without using SQL or any sas code and SAS explorer helps to import the data local data or we can connect directly the database conectivitly like PgAdmin or any other data sourses ,one can also import local files also acces the social meida data like ggogle youtube etc . **What do you dislike about SAS Data Management?** To access the data from cas one need to provide the cas session for assign allthe cas libs before accessing but this is the easy task just if someone is not aware has to know this before or else it is easy to use by one with less knowleade **What problems is SAS Data Management solving and how is that benefiting you?** Previouly we need to prepare the data in different database and the loading that in sas and then tranforming it according then we were able to access but know its like in a single tool ### 2. Advantages of using SAS **Rating:** 5.0/5.0 stars **Reviewed by:** Bozana Z. | Clinical Research Project Manger, Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2023 **What do you like best about SAS Data Management?** SAS is statistical software that can analyze a big set of data. This is an automatic program where you have to input the variables for which the analysis you want to perform. The program is very sensitive and chooses the statistical method based on your set of data. It is very useful for the big companies that are managing a big set of data daily and predicting any data trend or outcomes. For example, most biopharmaceutical companies employ SAS for clinical trial data analysis. Besides the calculations and analysis, there are different visualizations of data and predictions. The processing time is usually very short. **What do you dislike about SAS Data Management?** Know how to use SAS and usually complete the entire SAS program. Also, since the SAS program is a more advanced statistical program, you need to have basic statistical knowledge before using it. Therefore, only very qualified statisticians) can understand the complexity of the program and can run the program. Specifically, when you choose variables and also interpret the results. **What problems is SAS Data Management solving and how is that benefiting you?** To select appropriate statistical tests for a big set of data and automatically make the calculations. SAS checks the data set and if there is any error, the program sends you a notification about it so you know to select a different test, or if the set of data are with errors, the program brings this to your attention. ### 3. Data prep using SaS Data Quality **Rating:** 3.5/5.0 stars **Reviewed by:** Chandramouli N. | Senior Analyst - Data Engineering, Small-Business (50 or fewer emp.) **Reviewed Date:** November 24, 2022 **What do you like best about SAS Data Management?** For any analytics project the most difficult task is to bring the data and transform it to be business ready. Sas data quality helped us to profile data, preview and standardize it and monitor it so that we can avoid data issue at the analytics phase. **What do you dislike about SAS Data Management?** Data often comes in different formats, one of them is json which has the nested list of data. It was difficult for us to uncover the nested list and tag the objects to correct data types. **What problems is SAS Data Management solving and how is that benefiting you?** We have our data warehouse for the analytical purpose, some time the real time data (data from APIs) need to previewed before it has been moved to warehouse. So here using SAS we are profiling it to find and potential issues if persist. ### 4. The software is flexible **Rating:** 4.5/5.0 stars **Reviewed by:** Ngoc H. | Technician, Machinery, Small-Business (50 or fewer emp.) **Reviewed Date:** October 25, 2023 **What do you like best about SAS Data Management?** The platforms ability to integrate and its openness make it extremely valuable for organizations. It provides analytics capabilities. The documentation uses some improvements for versions. **What do you dislike about SAS Data Management?** It takes some time to navigate through its features and functionalities. l I think there is room for improvement, in terms of ease of use and customer support. **What problems is SAS Data Management solving and how is that benefiting you?** SAS Viya is providing us the ability to swiftly process and analyze data. This has empowered us to make well-informed decisions. ### 5. SaS Advanced Analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Jagadish B. | Senior Team Lead, Data Science & Data Engineering, Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2022 **What do you like best about SAS Data Management?** The Business Intelligence and Advanced Analytics feature of SAS are very **What do you dislike about SAS Data Management?** Not easy to get accustomed to if you are not a slightly technical person. **What problems is SAS Data Management solving and how is that benefiting you?** It is ensuring data is more reliable than ever before. ## 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?filters%5Bsentiment_snippet%5D=2411108&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+19%3A59%3A00+-0500&secure%5Bsession_id%5D=2a483684-d984-420e-97e2-7564a527ea0a&secure%5Btoken%5D=62808d7f65203a64e2d23ea98bc429251295320c6a0435d5ce9047b7003f884d&format=llm_user) ## 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 - Configurable Workflow - Rules-Based Workflow **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage - Data Visualization **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 - Real-Time Monitoring **Security** - Access Control - Roles Management - Compliance Management - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata 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 - Data Storage Management **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching - Real-Time Data **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - AI Text Generation - Generative AI **Additional Functionality** - Data Analysis Tools - AI/Machine Learning - Data Extraction - Reporting/Analytics - AI Copilot - Data Mapping - ETL - Big Data Analytics - Data Quality Control **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 - Third-Party Integrations - Active Directory Integration **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Metadata Management - Collaboration Tools - Search/Filter - Workflow Management - AI Copilot - Third-Party Integrations - Data Synchronization - Data Import/Export - Customizable Rules - Master Data Management - Monitoring - Data Transformation - Multiple Data Sources - Self Service Portal - Customer Database - Data Verification - Data Migration - Multi-Language - Single Sign On - Duplicate Detection - Email Address Extraction - Reporting/Analytics - Data Profiling - Data Extraction - Data Mapping - Address Validation - Match & Merge - Performance Metrics - Visual Analytics - Version Control - API - Data Capture and Transfer - Access Controls/Permissions - Compliance Management - Data Discovery ## Top SAS Data Management Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (713 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,337 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (861 reviews)