We performed a comparison between Azure Data Factory and Oracle Autonomous Data Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"Allows more data between on-premises and cloud solutions"
"The data copy template is a valuable feature."
"I am one hundred percent happy with the stability."
"It is a complete ETL Solution."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The solution integrates well with Power BI."
"With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main reason we use it."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The analytics have been very good. We've found them to be quite useful."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"The product is easy to use."
"The performance and scalability are awesome."
"The solution needs to be more connectable to its own services."
"The one element of the solution that we have used and could be improved is the user interface."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"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."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"Data Factory's performance during heavy data processing isn't great."
"The product could provide more ways to import and export data."
"An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud."
"The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora."
"The installation process is complex. Oracle can make the installation process better."
"They should make the solution more user-friendly."
"A lot of the tools that were previously there have now been taken away."
"Ease of connectivity could be improved."
"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
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Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews. Azure Data Factory is rated 8.0, while Oracle Autonomous Data Warehouse is rated 8.6. 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 Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Oracle Autonomous Data Warehouse is most compared with Snowflake, Oracle Exadata, Microsoft Azure Synapse Analytics, BigQuery and Vertica. See our Azure Data Factory vs. Oracle Autonomous Data Warehouse report.
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