Compare Azure Data Factory vs. SAS Data Integration Server

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while SAS Data Integration Server is ranked 26th in Data Integration Tools with 2 reviews. Azure Data Factory is rated 8.2, while SAS Data Integration Server is rated 7.0. 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 Integration Server writes "Enables us to maintain customer data, policy, and products but it should have better integration into other software". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas SAS Data Integration Server is most compared with SSIS, Informatica PowerCenter and Talend Open Studio. See our Azure Data Factory vs. SAS Data Integration Server report.
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Most Helpful Review
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Find out what your peers are saying about Azure Data Factory vs. SAS Data Integration Server 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.The solution offers very good data manipulation and loading.

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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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So I would like to see improved integration with other software.The transform tool has limited access. They should make it more flexible.

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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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It is an expensive program.

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Ranking
6th
Views
7,322
Comparisons
5,739
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
26th
Views
1,084
Comparisons
988
Reviews
2
Average Words per Review
306
Avg. Rating
7.0
Top Comparisons
Compared 29% of the time.
Also Known As
SAS Enterprise Data Integration Server, Enterprise Data Integration Server
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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.

SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.
Offer
Learn more about Azure Data Factory
Learn more about SAS Data Integration Server
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Credit Guarantee Corporation, Cr_dito y Cauciā€¹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance
Top Industries
VISITORS READING REVIEWS
Software R&D Company53%
Comms Service Provider9%
Retailer4%
Insurance Company4%
No Data Available
Find out what your peers are saying about Azure Data Factory vs. SAS Data Integration Server and other solutions. Updated: March 2020.
406,312 professionals have used our research since 2012.
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