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."Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"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."
"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."
"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."
"We have been using drivers to connect to various data sets and consume data."
"The most valuable feature of Oracle Exadata is the integration with other solutions, such as SAN storage and shared VLAN network."
"They just have a lot of products, and they work well together."
"Oracle Exadata has very good hardware."
"Exadata's best features are its performance during redo logging and the elasticity of the database handling."
"This product can noticeably enhance performance of contextual Oracle databases."
"The most valuable feature of Oracle Exadata is the storage available."
"The most valuable feature is the time to solution."
"Before using this machine, we took no less than two days to run a report. Now, we can do it within five hours. So, there is a lot of improvement."
"The speed and performance need to be improved."
"We have experienced some issues with the integration. This is an area that needs improvement."
"The solution needs to be more connectable to its own services."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"The initial setup is not very straightforward."
"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."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Data Factory's cost is too high."
"We have experienced some issues with processing unstructured data on Exadata. This is an important requirement for our AIML based use case. Reactive analytics data can not be prepared easily in Oracle Exadata."
"Patching must be simplified."
"The solution could always be more stable and more reliable."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"The initial setup process is very difficult and extremely complex."
"Sometimes it takes too long time to get help with technical issues."
"The handling of temp space has room for improvement."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 125 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 IBM InfoSphere DataStage, 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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