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."Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"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."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"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."
"The solution has a good interface and the integration with GitHub is very useful."
"The solution can scale very easily."
"The most valuable aspect is the copy capability."
"The tool performs well with a large database."
"Oracle Exadata's performance is one of its best features. We very satisfied with it."
"The tool's performance is good."
"It is a scalable solution."
"The storage capacity and the performance of Oracle Exadata are good. When comparing the performance to other technologies it is very good. I am satisfied with the management of the solution."
"The most valuable feature of Oracle Exadata is the smart scan. We have large TB sessions of approximately 100 per second for each of our three instances. The smart scan allows us the obtain data in time in the enterprise manager."
"The performance of the data is the most important part."
"They just have a lot of products, and they work well together."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"There are limitations when processing more than one GD file."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"We have experienced some issues with the integration. This is an area that needs improvement."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"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."
"The analytics features must be improved."
"The setup is a little bit complex. We would like to see the installation part get easier."
"Since the product is an appliance, it is very costly."
"Oracle Exadata could improve the monitoring system in the enterprise manager, it could be more user-friendly. In most Oracle tools there is a lot of functionality, and sometimes you need to do five or six clicks to find metrics, and sometimes it's a waste of time."
"Sometimes it takes too long time to get help with technical issues."
"Patching must be simplified."
"The cost of the solution is high and can be improved."
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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