We performed a comparison between Azure Data Factory and SAS Data Integration Server based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"I am one hundred percent happy with the stability."
"I like the basic features like the data-based pipelines."
"The most valuable feature is the copy activity."
"Powerful but easy-to-use and intuitive."
"Allows more data between on-premises and cloud solutions"
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The initial setup is very quick and easy."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution offers very good data manipulation and loading."
"The solution is very stable."
"The one element of the solution that we have used and could be improved is the user interface."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"The transform tool has limited access. They should make it more flexible."
"The initial setup of SAS Data Integration Server was complex."
"So I would like to see improved integration with other software."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Azure Data Factory is rated 8.0, while SAS Data Integration Server is rated 7.4. 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 Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), AWS Glue and AWS Database Migration Service. See our Azure Data Factory vs. SAS Data Integration Server report.
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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.
