We performed a comparison between Azure Data Factory and Oracle Exadata 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."It is beneficial that the solution is written with Spark as the back end."
"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."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"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."
"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."
"It is a highly relevant option with extreme performance."
"It offers a significant advantage for accommodating a large number of users."
"On-premises Exadata is just as stable as the cloud version. It's a very stable platform."
"The most valuable feature is storage offloading."
"Exadata's best features are its performance during redo logging and the elasticity of the database handling."
"Oracle is easy to use for peripheral things, such as the data vault and the data firewall, data sync, and partitions. These are the features that give an edge to other databases."
"It is the best solution for OLTP and data warehousing."
"The new Exadata x9m has an even higher speed of 100GBps connectivity."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"The Microsoft documentation is too complicated."
"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."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Tech support sometimes takes some time to identify and rectify issues."
"Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems."
"Patching must be simplified."
"The technical support is in need of improvement."
"Sometimes it takes too long time to get help with technical issues."
"The initial setup process is very difficult and extremely complex."
"The improvement could be made on the hardware level as the habit in the industry is to go better and faster and larger with every iteration."
"We had issues with system restoration."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews. Azure Data Factory is rated 8.0, while Oracle Exadata is rated 8.4. 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 Exadata writes "Offers a variety of valuable features". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and Amazon Redshift. See our Azure Data Factory vs. Oracle Exadata report.
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