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."Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"We haven't had any issues connecting it to other products."
"It is easy to integrate."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"I am one hundred percent happy with the stability."
"The initial setup is very quick and easy."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Exadata with the In-Memory option is several levels about SAP HANA."
"Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."
"It is a highly relevant option with extreme performance."
"We have used this solution for a long period of time so it has become easy for us to query any kind of data from Oracle Exadata which has been valuable."
"The offloading of data to the SIM is a valuable feature."
"The technical support team are real professionals. I admire their technical skills and supports. Their supports are really admirable."
"The performance on the databases is good."
"It is the best solution for OLTP and data warehousing."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"The pricing model should be more transparent and available online."
"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."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Azure Data Factory's pricing in terms of utilization could be improved."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"We need a monitoring tool which can in one place, where we can manage, monitor the entire Exadata components."
"We had issues with system restoration."
"There's room for improvement in terms of deployment, as it could be made faster and more user-friendly."
"The setup is a little bit complex. We would like to see the installation part get easier."
"I believe Oracle must improve its procedure to support the clients. The customer Ready Service must provide more use cases and benchmarks of their infrastructure to support client design decisions. Oracle must audit their partners regularly to guarantee they provide quality service even after been passed on partnership examination."
"A room for improvement in Oracle Exadata is that it's not very easy to use in a microservices environment. It's not easy to split databases, and if this was easier to do in Oracle Exadata, it would make the solution better. What I'd like to see in the next release of Oracle Exadata is for it to become more modular, so you can use it in a context where the data layer is spread between many independent services."
"Since the product is an appliance, it is very costly."
"It would be nice to have a single click button to, say, migrate my VMware VM into the Oracle VM, or vice-versa."
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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