We performed a comparison between Azure Data Factory and Rivery 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."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"I am one hundred percent happy with the stability."
"We use the solution to move data from on-premises to the cloud."
"The security of the agent that is installed on-premises is very good."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"Data Factory's best features are simplicity and flexibility."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"Connects to many APIs in the market and new ones are being added all the time."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"Some of the optimization techniques are not scalable."
"The pricing model should be more transparent and available online."
"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."
"The initial setup is not very straightforward."
"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 need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"Lineage and an impact analysis or logic dependency are lacking."
Earn 20 points
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Rivery is ranked 60th in Data Integration. Azure Data Factory is rated 8.0, while Rivery is rated 9.0. 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 Rivery writes "Great logic and the ability to call outside API if needed. Key feature is management of different sources". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Rivery is most compared with AWS Glue and Alteryx Designer.
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