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SAS Data Management

SAS Data Management

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.

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Pricing

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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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Features

Data Source Connection

Ability to connect to multiple data sources

8.3
Avg 8.4

Data Transformations

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

6.7
Avg 8.2

Data Modeling

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

6.7
Avg 7.9

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

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 SystemsUnspecified
Mobile ApplicationNo

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

(1-5 of 11)

Easy to use Data Integration Software for Business Users

Rating: 7 out of 10
February 28, 2020
RL
Vetted Review
Verified User
SAS Data Management
3 years of experience
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 reporting and analysis as well as creating a 360-degree customer view to identify common customers across companies to improve cross-sell and up-sell. As there are multiple systems across multiple systems, a common data management platform was required to create an EDW for the same.
  • Easy to use even for non-technical people
  • Connects to a variety of data sources
  • Statistical transformations available as part of the module
  • Graphical drag & drop interface
Cons
  • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
  • Debugging errors from the logs is a complicated process.
  • E-mail alert system is very primitive and needs customization to make it more modern,
  • Cannot send SMS alerts for jobs.
SAS Data Management Platform is very well suited if you have common data sources like Oracle, SAP, MS SQL, etc.. Still, if there are a bit more obscure, then you need to purchase additional connectors to connect to those data sources. It is well suited when you don't have a business team with strong technical/coding background as the drag and drop interface makes creating jobs and scheduling them quite easy.

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

Rating: 8 out of 10
February 20, 2020
Vetted Review
Verified User
SAS Data Management
4 years of experience
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.
  • 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.
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.

SAS/Access gives you power to know

Rating: 10 out of 10
February 29, 2020
LB
Vetted Review
Verified User
SAS Data Management
4 years of experience
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 servers. SAS/Access allows for greater, concerted efforts to connect multiple databases.
  • Secure connections to databases
  • Managed access to databases and data
  • Customized access to databases
Cons
  • Can be dense to understand
SAS/Access is best suited for large numbers of databases but can be easily used for single databases as well.

SAS/Access to extract data from large databases

Rating: 10 out of 10
February 20, 2018
We are using SAS/Access to extract and join data from a variety of platforms to create new datasets in a form usable by business partners.
  • Able to read a variety of databases e.g. Teradata
  • Can use familiar SQL statements to extract the data
  • Can be used to extract data from a wide variety of platforms
Cons
  • SAS/Access currently meets my needs and I expect will evolve as new data sources and platforms emerge.
Extracting from large databases in order to subset and filter for specific purposes is a suitable use for SAS/Access.

My SAS Enterprise Data Integration Server Review

Rating: 7 out of 10
September 11, 2020
FO
Vetted Review
Verified User
SAS Data Management
3 years of experience
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.
  • 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.
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.
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