Compare Azure Data Factory vs. SAS Data Management

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while SAS Data Management is ranked 14th in Data Integration Tools with 4 reviews. Azure Data Factory is rated 8.2, while SAS Data Management is rated 9.2. The top reviewer of Azure Data Factory writes "Straightforward and scalable but could be more intuitive". On the other hand, the top reviewer of SAS Data Management writes "Stable data management and analysis and has a myriad of features". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas SAS Data Management is most compared with Palantir Gotham, Informatica PowerCenter and Ab Initio Co>Operating System. See our Azure Data Factory vs. SAS Data Management report.
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Most Helpful Review
Find out what your peers are saying about Azure Data Factory vs. SAS Data Management and other solutions. Updated: March 2020.
406,312 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
It is easy to deploy workflows and schedule jobs.From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.It is a complete ETL Solution.Powerful but easy-to-use and intuitive.The most valuable features are data transformations.Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.From what we have seen so far, the solution seems very stable.The user interface is very good. It makes me feel very comfortable when I am using the tool.

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The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes.If you compare it to SQL, the memory and development times are very quick.The technical support is excellent.This is an established product with powerful data analysis and varied options for user entry points.

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Cons
The setup and configuration process could be simplified.The user interface could use improvement. It's not a major issue but it's something that can be improved.The Microsoft documentation is too complicated.The product could provide more ways to import and export data.The speed and performance need to be improved.On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.

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The pricing of the solution needs to be improved. They need to work to make it more affordable.We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive.With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process.Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics.

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Pricing and Cost Advice
This is a cost-effective solution.Our licensing fees are approximately 15,000 ($150 USD) per month.In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal.

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While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use.

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Ranking
6th
Views
7,322
Comparisons
5,739
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
14th
Views
1,949
Comparisons
1,353
Reviews
3
Average Words per Review
1,068
Avg. Rating
9.0
Top Comparisons
Also Known As
SAS Data Management Platform, Data Management Platform, DataFlux
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Microsoft
SAS
Overview

Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

Offer
Learn more about Azure Data Factory
Learn more about SAS Data Management
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauciā€¹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Top Industries
VISITORS READING REVIEWS
Software R&D Company53%
Comms Service Provider9%
Retailer4%
Insurance Company4%
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Find out what your peers are saying about Azure Data Factory vs. SAS Data Management and other solutions. Updated: March 2020.
406,312 professionals have used our research since 2012.
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