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 data copy template is a valuable feature."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"It's extremely consistent."
"The most important feature is that it can help you do the multi-threading concepts."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"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."
"The most valuable aspect is the copy capability."
"From what we have seen so far, the solution seems very stable."
"The business intelligence is very good."
"A very stable solution, which we have hardly any problems with."
"Oracle Exadata is stable."
"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."
"Oracle Exadata has very good hardware."
"The most valuable feature of Oracle Exadata is the integration with other solutions, such as SAN storage and shared VLAN network."
"Oracle is known to be the number one in their industry; the help and support, the features they are giving the clients comparing to other databases, the new technology, the provide a good solution."
"Backup/Restore performance: Fast backups, fast restores (especially useful for creating clone environments)."
"The support and the documentation can be improved."
"I have not found any real shortcomings within the product."
"The initial setup is not very straightforward."
"There are limitations when processing more than one GD file."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"The pricing model should be more transparent and available online."
"It would be better if it had machine learning capabilities."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Since the product is an appliance, it is very costly."
"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."
"The integration with third-party applications regarding access management security could be better."
"The handling of temp space has room for improvement."
"There is a feature for security, but it is not included in the first purchase of this solution. That means if you need to increase the security, you need to buy the security feature which doesn't come by default on these solutions."
"Sometimes it takes too long time to get help with technical issues."
"The management monitoring tools are quite important and an area that needs some improvement."
"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle."
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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We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.