Compare Azure Data Factory vs. SAS/Access

Azure Data Factory is ranked 6th in Data Integration Tools with 10 reviews while SAS/Access is ranked 16th in Data Integration Tools with 1 review. Azure Data Factory is rated 8.2, while SAS/Access is rated 10.0. 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/Access writes "Connect databases and create access to simplify complex processes with this powerful tool". Azure Data Factory is most compared with Talend Open Studio, Informatica PowerCenter and Informatica Enterprise Data Catalog, whereas SAS/Access is most compared with Toad Data Point, Oracle Data Integrator (ODI) and Denodo.
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Azure Data Factory Logo
8,394 views|6,600 comparisons
SAS/Access Logo
760 views|706 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: March 2020.
407,242 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 most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment.

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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 model needs to be reconsidered and adjusted.

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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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The pricing model is complex and is based on modular packages as well as the size of the applicable environment.

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407,242 professionals have used our research since 2012.
Ranking
6th
Views
8,394
Comparisons
6,600
Reviews
10
Average Words per Review
456
Avg. Rating
8.1
16th
Views
760
Comparisons
706
Reviews
1
Average Words per Review
2,916
Avg. Rating
10.0
Top Comparisons
Compared 25% of the time.
Compared 15% of the time.
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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/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.
Offer
Learn more about Azure Data Factory
Learn more about SAS/Access
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Top Industries
VISITORS READING REVIEWS
Software R&D Company54%
Comms Service Provider9%
Insurance Company4%
Construction Company4%
No Data Available
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: March 2020.
407,242 professionals have used our research since 2012.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.