Azure Data Factory vs SAS Access comparison

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26,364 views|20,689 comparisons
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398 views|327 comparisons
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Executive Summary

We performed a comparison between Azure Data Factory and SAS Access based on real PeerSpot user reviews.

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To learn more, read our detailed Data Integration Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
Robert Heck
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability.""For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration.""Azure Data Factory became more user-friendly when data-flows were introduced.""The data copy template is a valuable feature.""I like that it's a monolithic data platform. This is why we propose these solutions.""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.""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.""It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

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"The most valuable feature is you have native access to the external databases.""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.""The most valuable aspect of the solution is the ease of access to the data in those databases."

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Cons
"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.""We require Azure Data Factory to be able to connect to Google Analytics.""When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF.""There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button.""A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement.""Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog.""User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial.""Real-time replication is required, and this is not a simple task."

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"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met.""The pricing model needs to be reconsidered and adjusted.""The solution can provide access to the newer databases that come out sooner."

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Pricing and Cost Advice
  • "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."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
  • "The solution's pricing and licensing are expensive."
  • More SAS Access Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Top Answer:The most valuable feature is you have native access to the external databases.
    Top Answer:The solution's pricing and licensing are expensive. It is not the cheapest software. However, SAS systems are solutions that customers use over decades of time and you can rely on the solution being… more »
    Top Answer:The solution can provide access to the newer databases that come out sooner.
    Ranking
    1st
    out of 94 in Data Integration
    Views
    26,364
    Comparisons
    20,689
    Reviews
    40
    Average Words per Review
    495
    Rating
    8.0
    38th
    out of 94 in Data Integration
    Views
    398
    Comparisons
    327
    Reviews
    1
    Average Words per Review
    316
    Rating
    8.0
    Comparisons
    Also Known As
    SAS/Access
    Learn More
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    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.
    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
    Top Industries
    REVIEWERS
    Computer Software Company35%
    Insurance Company12%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Insurance Company10%
    Computer Software Company10%
    Government7%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise19%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise5%
    Large Enterprise73%
    Buyer's Guide
    Data Integration
    March 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 79 reviews while SAS Access is ranked 38th in Data Integration with 3 reviews. Azure Data Factory is rated 8.0, while SAS Access is rated 9.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of SAS Access writes "The solution is stable, scalable, and flexible". Azure Data Factory is most compared with Informatica PowerCenter, Alteryx Designer, Informatica Cloud Data Integration, Snowflake and Microsoft Azure Synapse Analytics, whereas SAS Access is most compared with Delphix, SSIS and Zapier.

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    We monitor all Data Integration 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.