Azure Data Factory vs. SAS/Access

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.3 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A
SAS/Access
Score 8.0 out of 10
N/A
SAS/Access is a data integration solution, from SAS.N/A
Pricing
Azure Data FactorySAS/Access
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data FactorySAS/Access
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data FactorySAS/Access
Top Pros
Top Cons
Features
Azure Data FactorySAS/Access
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
9.1
7 Ratings
9% above category average
SAS/Access
9.7
5 Ratings
15% above category average
Connect to traditional data sources9.27 Ratings10.05 Ratings
Connecto to Big Data and NoSQL9.07 Ratings9.54 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.4
7 Ratings
0% below category average
SAS/Access
8.5
3 Ratings
1% above category average
Simple transformations9.27 Ratings9.03 Ratings
Complex transformations7.77 Ratings8.03 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.8
7 Ratings
4% below category average
SAS/Access
8.8
3 Ratings
8% above category average
Data model creation8.45 Ratings9.02 Ratings
Metadata management7.66 Ratings9.02 Ratings
Business rules and workflow7.67 Ratings9.02 Ratings
Collaboration7.36 Ratings9.02 Ratings
Testing and debugging7.67 Ratings8.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
7.7
7 Ratings
7% below category average
SAS/Access
9.7
4 Ratings
16% above category average
Integration with data quality tools7.57 Ratings9.54 Ratings
Integration with MDM tools8.07 Ratings10.03 Ratings
Best Alternatives
Azure Data FactorySAS/Access
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
InfoSphere
InfoSphere
Score 8.2 out of 10
InfoSphere
InfoSphere
Score 8.2 out of 10
Enterprises
InfoSphere
InfoSphere
Score 8.2 out of 10
InfoSphere
InfoSphere
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data FactorySAS/Access
Likelihood to Recommend
9.3
(7 ratings)
10.0
(5 ratings)
Support Rating
7.0
(1 ratings)
10.0
(2 ratings)
User Testimonials
Azure Data FactorySAS/Access
Likelihood to Recommend
Microsoft
Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
Read full review
SAS
SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
Read full review
Pros
Microsoft
  • It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
  • We can use linked service in multiple pipeline/data load.
  • It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
Read full review
SAS
  • Secure connections to databases
  • Managed access to databases and data
  • Customized access to databases
Read full review
Cons
Microsoft
  • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
  • Does not yet have parity with SSIS as far as the transforms available.
Read full review
SAS
  • Syntax for the connection string can be tricky
  • Specification of the data source driver can be tricky
Read full review
Support Rating
Microsoft
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
Read full review
SAS
I have always received excelled service working with SAS technical support. Additionally, the tool is used so widely that there are many online resources and use cases that allow you to see many other uses or support routes.
Read full review
Alternatives Considered
Microsoft
The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
Read full review
SAS
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
Read full review
Return on Investment
Microsoft
  • It is very useful and make things easier
  • Debugging can improve
  • Its better suited than other products with the same objective
Read full review
SAS
  • Bring usable data together quickly for downstream consumption e.g. modelling and reporting.
Read full review
ScreenShots