We performed a comparison between Azure Data Factory and Oracle Database Appliance 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 how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"It's extremely consistent."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Allows more data between on-premises and cloud solutions"
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The solution is okay."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"The product is excellent. It is simple and reliable in terms of installation and maintenance."
"The solution is stable. The product is scalable. The technical support is very helpful. The initial setup is straightforward. I consider the product a strong solution for our customers."
"The most valuable feature of Oracle Database Appliance is the ease of management."
"We primarily use it for OLTP, which has improved our costs."
"The performance of the system is the solution's most valuable aspect. In combination with the database, it gives perfect results. It's a better system than using other kinds of integrated systems. In general, the ODA control is much simpler to use and offers up the best performance."
"I give it a nine out of 10 because it gives the customer easy access to a complete database solution within 30 minutes."
"The performance due to the all-flash of ODA is very nice."
"We value the appliance architecture with its “everything-in-a-box” highly standardized setup."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"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."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"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."
"They could incorporate a more secure and internet-centric management system for the platform."
"I would like it if the scalability could be increased without having to change versions."
"Even though the solution can handle a lot of data, it's just too expensive currently."
"The main thing would be to make ODA more affordable, to make it a more economical machine. Also, I would like to see virtualization, so you could implement all of your functions on one machine. Finally, improvement in the speed and performance would be good."
"The product's technical support services need improvement."
"We would like the ability to add more storage without having to upgrade to Oracle Exadata."
"Oracle Database Appliance is stopping support for the standard edition and only continuing support for the RAC One Node. They did not inform us and we are having problems with our customers. We are not having to change our systems from standard to something else."
"Technical support is not so great. It could be much better. The maintenance, for an enterprise system, isn't so great. It's also extremely expensive."
Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Oracle Database Appliance is ranked 6th in Data Warehouse with 39 reviews. Azure Data Factory is rated 8.0, while Oracle Database Appliance is rated 8.0. 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 Database Appliance writes "Stable solution with opportunities for performance enhancement". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Oracle Database Appliance is most compared with Oracle Exadata, VMware Tanzu Greenplum, Dremio, Actian Ingres and SAP BW4HANA. See our Azure Data Factory vs. Oracle Database Appliance 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.
