We performed a comparison between Azure Data Factory and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"Its integrability with the rest of the activities on Azure is most valuable."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"The solution has a good interface and the integration with GitHub is very useful."
"The function of the solution is great."
"It is easy to deploy workflows and schedule jobs."
"The most valuable feature is the copy activity."
"It is easy to integrate."
"I am impressed with the tool's ability to customize."
"If you compare it to SQL, the memory and development times are very quick."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The product offers very good flexibility."
"The technical support is excellent."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"This is an established product with powerful data analysis and varied options for user entry points."
"The tool is reliable, quick, and powerful."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Lacks in-built streaming data processing."
"There are limitations when processing more than one GD file."
"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."
"The solution is quite expensive and hard to install/configure."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
"The solution could use better documentation."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SAS Data Management is ranked 43rd in Data Integration with 15 reviews. Azure Data Factory is rated 8.0, while SAS Data Management is rated 8.4. 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 Management writes "A scalable solution with customer support that is responsive and diligent". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry.
See our list of best Data Integration vendors.
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.
