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."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."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"The trigger scheduling options are decently robust."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"Data Factory's best features are simplicity and flexibility."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The flexibility that Azure Data Factory offers is great."
"Oracle Exadata's performance is one of its best features. We very satisfied with it."
"It offers a significant advantage for accommodating a large number of users."
"Exadata's best features are its performance during redo logging and the elasticity of the database handling."
"Parallelism is the most valuable feature."
"The business intelligence is very good."
"The new Exadata x9m has an even higher speed of 100GBps connectivity."
"A very stable solution, which we have hardly any problems with."
"What I like most about Oracle Exadata is its smart scan feature. I also like that it supports higher capacities and it's high-performing, so my company can use Oracle Exadata for massive databases."
"Real-time replication is required, and this is not a simple task."
"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."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"The Microsoft documentation is too complicated."
"Lacks in-built streaming data processing."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"License or upgrade management can be difficult and time consuming because it requires login to a separate console."
"The management monitoring tools are quite important and an area that needs some improvement."
"We have a little trepidation with the system as it does have a learning curve. Also changing to a binary logging format for us feels like retrograde motion, but sadly almost all Linux variants have moved in this direction."
"Exadata would be improved with single dashboard visibility."
"I have found Oracle Exadata to be scalable. However, you have to purchase more hardware, such as memory."
"Oracle Exadata has room for improvement in pricing, especially for smaller companies. The solution is okay for bigger companies, but for smaller companies, it isn't."
"It's too expensive per terabyte. It's complex."
"The technical support is in need of improvement."
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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