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."It makes it easy to collect data from different sources."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The most important feature is that it can help you do the multi-threading concepts."
"The most valuable feature is the copy activity."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"We have been using drivers to connect to various data sets and consume data."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"Connects to many APIs in the market and new ones are being added all the time."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"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 support and the documentation can be improved."
"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."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"The pricing scheme is very complex and difficult to understand."
"There's space for improvement in the development process of the data pipelines."
"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 59th 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 Microsoft Azure Synapse Analytics, whereas Rivery is most compared with AWS Glue and Alteryx Designer.
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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.
