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."An excellent tool for pipeline orchestration."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"We have found the bulk load feature very valuable."
"It is a complete ETL Solution."
"It is easy to deploy workflows and schedule jobs."
"The most valuable feature is the copy activity."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"Connects to many APIs in the market and new ones are being added all the time."
"Lacks in-built streaming data processing."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"There's space for improvement in the development process of the data pipelines."
"The deployment should be easier."
"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 58th 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 Alteryx Designer and AWS Glue.
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