We performed a comparison between Azure Data Factory and SAS Data Integration Server based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"It is beneficial that the solution is written with Spark as the back end."
"The solution has a good interface and the integration with GitHub is very useful."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"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."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"The function of the solution is great."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"The solution offers very good data manipulation and loading."
"The solution is very stable."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"It would be better if it had machine learning capabilities."
"Data Factory's monitorability could be better."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"The deployment should be easier."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"Data Factory's performance during heavy data processing isn't great."
"So I would like to see improved integration with other software."
"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
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 Microsoft Azure Synapse Analytics, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), AWS Glue and AWS Database Migration Service.
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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.
