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."We have been using drivers to connect to various data sets and consume data."
"It makes it easy to collect data from different sources."
"The solution is okay."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"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."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The most valuable feature is the copy activity."
"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."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"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."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"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."
"Data Factory's monitorability could be better."
"The initial setup is not very straightforward."
"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."
"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.
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.
