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."The initial setup is very quick and easy."
"It is beneficial that the solution is written with Spark as the back end."
"The scalability of the product is impressive."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"The most valuable aspect is the copy capability."
"The most valuable feature is the time to solution."
"Exadata's best features are its performance during redo logging and the elasticity of the database handling."
"We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA."
"The tool's performance is good."
"The ease of setup is an eight out of ten."
"They just have a lot of products, and they work well together."
"The performance on the databases is good."
"The business intelligence is very good."
"Lacks in-built streaming data processing."
"The product could provide more ways to import and export data."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
"The initial setup process is very difficult and extremely complex."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
"The solution's pricing is very high."
"Since the product is an appliance, it is very costly."
"The integration with third-party applications regarding access management security could be better."
"License or upgrade management can be difficult and time consuming because it requires login to a separate console."
"The performance could 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 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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