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."Data Factory's best features are simplicity and flexibility."
"Allows more data between on-premises and cloud solutions"
"The best part of this product is the extraction, transformation, and load."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"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 security of the agent that is installed on-premises is very good."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The function of the solution is great."
"The solution offers very good data manipulation and loading."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
"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."
"We require Azure Data Factory to be able to connect to Google Analytics."
"Data Factory's monitorability could be better."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Some known bugs and issues with Azure Data Factory could be rectified."
"It can improve from the perspective of active logging. It can provide active logging information."
"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
"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 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.
