SAS Data Management Reviews & Ratings 2025

Overview

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Learn from top reviewers

My SAS Enterprise Data Integration Server Review

Rating: 7 out of 10

September 11, 2020

IncentivizedVetted ReviewVerified User

The product is used by our company to meet specific needs in the analytics field, for our CRM. In our case, it's used to manage customer segmentation logics and CRM targeting....

Filippo Orlando

Manager - Information Technology

Advanced Analytics Manager

Unieuro S.p.A.

3 years of experience

SAS/Access gives you power to know

Rating: 10 out of 10

February 29, 2020

IncentivizedVetted ReviewVerified User

SAS/Access is used in our department and university-wide to provide a connection to various databases to our SAS Viya and SAS 9.4 server setups as well as local based research...

Larry Burns

Director - Other

Assistant Director of Institutional Research and Information Management

Oklahoma State University

4 years of experience

Easy to use Data Integration Software for Business Users

Rating: 7 out of 10

February 28, 2020

IncentivizedVetted ReviewVerified User

My organization is using the SAS Data Management Platform at an enterprise-level i.e., across multiple companies. The business problem was to have a single source of data for ...

Ravi Lagu

Manager - Information Technology

Senior Manager

Indiabulls Housing Finance Limited

3 years of experience

SAS/Access...the universal adapter that ties together all of your data sources across the enterprise

Rating: 10 out of 10

February 28, 2020

IncentivizedVetted ReviewVerified User

The Healthy Nevada Project (healthynv.org) uses SAS/Access to bind the SAS 9.4 analytics platform to electronic healthcare records stored in Microsoft SQL Server. SAS/Access i...

Jim Metcalf

Professional - Research & Development

Chief Data Scientist

Desert Research Institute

17 years of experience

Trustworthy and Powerful

Rating: 9 out of 10

February 28, 2018

IncentivizedVetted ReviewVerified User

SAS Data Integration Studio is being used for one view of all our data across the organization. Pulling from our Oracle and SQL Servers the data is described in a fashion that...

Donald Wildeboer

Professional - Research & Development

Information Analyst

Agriculture Financial Services Corporation

2 years of experience

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Pricing

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SAS Data Management

N/A

Unavailable

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Entry-level set up fee?

No setup fee

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

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Astera Data Pipeline Builder (Centerprise)

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Astera Data Pipeline Builder is a no-code solution for designing and automating data pipelines. It allows users to read and write data across various file formats, databases, and applications. Users can execute ETL and ELT pipelines manually, schedule automated reruns, or integrate them into…

Skyvia

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What is Skyvia?

Skyvia is a no-code cloud data integration platform for ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, and real-time connectivity. Benefits of Using Skyvia:• Cost efficiency: With flexible pricing plans for each product, Skyvia suites for…

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Features

Data Source Connection

Ability to connect to multiple data sources

8.3

Avg 8.3

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

6.7

Avg 8.1

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

6.7

Avg 7.9

5.5
Data model creation
(6) Ratings
Ability to create and maintain data models using a graphical tool to define relationships between data
7.4
Metadata management
(7) Ratings
Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management
6.6
Business rules and workflow
(7) Ratings
Ability to define and manage business rules and workflows
7
Collaboration
(7) Ratings
Collaboration is enabled by a shared repository of project information and metadata
6.1
Testing and debugging
(7) Ratings
Tool to debug and tune for optimal performance

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

7.9

Avg 8.2

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Product Details

About
Tech Details
FAQs

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Included Data Preparation solutions streamline data workflows and execute ELT, supporting data pipelines to ingest, transform and serve high-quality data with a low-code self-service visual designer. And governance solutions help users to ensure regulatory compliance.

SAS Data Management Technical Details

Operating Systems	Unspecified
Mobile Application	No

Frequently Asked Questions

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Reviewers rate Connect to traditional data sources highest, with a score of 8.6.

The most common users of SAS Data Management are from Enterprises (1,001+ employees).

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Comparisons

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Reviews From Top Reviewers

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(1-5 of 11)

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SAS/Access...the universal adapter that ties together all of your data sources across the enterprise

Rating: 10 out of 10

Incentivized

February 28, 2020

JM

Jim Metcalf

Chief Data Scientist

Desert Research Institute (Research, 11-50 employees)

Vetted Review

Verified User

17 years of experience

View profile

Use Cases and Deployment Scope

The Healthy Nevada Project (healthynv.org) uses SAS/Access to bind the SAS 9.4 analytics platform to electronic healthcare records stored in Microsoft SQL Server. SAS/Access is used across the entire project to extract research data. Without the capabilities of SAS/Access, we would be unable to deliver phenotypic data to geneticists so they can perform genome-wide association studies (GWAS). The product is incredibly robust. In the millions of extracts we have performed, we have never encountered a software defect with SAS/Access. As a result, SAS/Access is "invisible" to the team. It just works. Every. Single. Time. The ACCESS product line from SAS is rich in that there are twenty-five different "adapters" that let SAS connect to data sources as disparate Oracle, DB2, Sybase, Hadoop, Impala, SQL Server, MySQL, Greenplum, HAWQ, Netezza....and the list goes on. If your analytics platform is SAS and you have disparate data sources then SAS/Access is your best friend.

Pros

Seamless access to disparate data sources
Unparalleled data access speed
Frictionless

Cons

Syntax for the connection string can be tricky
Specification of the data source driver can be tricky

Likelihood to Recommend

SAS/Access is incredibly well-suited for the enterprise-wide data access (read and write) to any data source in your enterprise, no matter the complexity of the schema.

Access Your Data

Rating: 9 out of 10

Incentivized

September 22, 2017

NJ

Nikardi Jallah

Epidemiologist

Maryland Department of Health and Mental Hygiene (Health, Wellness and Fitness, 51-200 employees)

Vetted Review

Verified User

3 years of experience

View profile

Use Cases and Deployment Scope

I currently use SAS/Access to analyze data coming in from the state level Behavioral Health Risk Factor Surveillance System and the Youth Risk Behavior Survey. I focus on tobacco data and SAS is extremely important when looking at this data. I use SAS STAT to analyse the data using survey procedures. Because BRFSS and YRBS are complex surveys I must use the survey procedures in SAS to get weighted frequencies, means and estimates. It is extremely easy to use SAS for these analyses, because the procedures are pretty repetitive. However, I do wish that the strata, weight, and cluster variables did not have to be typed with each procedure done. When using STATA or SPSS these variables are entered once, and the weighted results are automatically given when writing procedure. No need to enter them in for each. However, I am more comfortable with SAS coding and really like that it is user friendly. The online support for SAS is wonderful as well.

Pros

SAS/Access is great for manipulating large and complex databases.
SAS/Access makes it easy to format reports and graphics from your data.
Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.

Cons

SAS/Access coding is not as simple as SQL query language. SAS/Access requires the user to have prior knowledge of SAS coding and data-set manipulation.
SAS/Access support is not as good as Base SAS support, there is not much help if you want to do a specific format or data merge with your datasets.
SAS/Access is a bit expensive compared to SQL, but if you already have Base SAS it is not as expensive.

Likelihood to Recommend

SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.

Best server for making the data lakes and using the data from it for analytics.

Rating: 8 out of 10

Incentivized

February 20, 2020

Verified User

Consultant in Information Technology

Outsourcing/Offshoring Company, 10,001+ employees

Vetted Review

Verified User

4 years of experience

Use Cases and Deployment Scope

This is used department-wide for different clients. There are very limited people who are using it because for handling this tool some experience is required. We use it to make data lakes for fetching data and using it for analyzing patterns.

Pros

It can process multiple data sources together.
It works very fast and is highly scalable.

Cons

It hangs a lot, that means that while loading huge data it sometimes slows down.
No modelling options available in the tool.

Likelihood to Recommend

It is suited for taking data from multiple sources simultaneously like for example the streaming data of transactions in retail stores. It processes the data at a pretty high pace and gives high results every time.

It is less appropriate sometimes because it hangs sometimes and does not have a large user community available over the internet.

My SAS Enterprise Data Integration Server Review

Rating: 7 out of 10

Incentivized

September 11, 2020

FO

Filippo Orlando

Advanced Analytics Manager

Unieuro S.p.A. (Retail, 1001-5000 employees)

Vetted Review

Verified User

3 years of experience

View profile

Use Cases and Deployment Scope

The product is used by our company to meet specific needs in the analytics field, for our CRM. In our case, it's used to manage customer segmentation logics and CRM targeting. I think it is the ideal solution, but may not find it's place in other areas or projects.

Pros

Integrability with different data sources. The provision of native connectors is complete and there is the possibility of implementing new ones.
Flexibility in power sources, thanks to the connectors with the main DB and the integration of all types of formats (XML, CSV, JSON, etc.)
End-to-end process with the SAS suite. Products such as SAS Visual Analytics allows the visualization of the data produced, or Visual Data Mining and Machine Learning which allows you to perform advanced analysis.

Cons

It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.

Likelihood to Recommend

I believe that in the field of Data Integration, the SAS product is very suitable if the company uses SAS products for all the steps of the data. It is less suitable if used as a stand-alone tool. In our case, to manage customer segmentation logics and CRM targeting, it is the ideal solution.