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."
"It is a complete ETL Solution."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"From what we have seen so far, the solution seems very stable."
"The most valuable feature is the copy activity."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"Powerful but easy-to-use and intuitive."
"The performance on the databases is good."
"The offloading of data to the SIM is a valuable feature."
"The most valuable feature is storage offloading."
"The business intelligence is very good."
"What I found most valuable in Oracle Exadata is its newer technology that gives better performance. It has more recent hardware and significant changes in the architecture, so it's better than older solutions."
"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."
"Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it."
"They just have a lot of products, and they work well together."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"Data Factory's performance during heavy data processing isn't great."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"The product could provide more ways to import and export data."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The solution needs to be more connectable to its own services."
"There aren't many third-party extensions or plugins available in the solution."
"We need a monitoring tool which can in one place, where we can manage, monitor the entire Exadata components."
"Tech support sometimes takes some time to identify and rectify issues."
"I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."
"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."
"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."
"The management monitoring tools are quite important and an area that needs some improvement."
"Oracle Exadata could improve by having faster data retrieval. We receive data at four or five seconds and want to reduce that number to one second."
"We had issues with system restoration."
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.
See our list of best Cloud Data Warehouse vendors.
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.
