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Azure Data Factory vs Oracle Database Appliance comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.3
Azure Data Factory enhances efficiency, centralizes data, reduces costs, and improves data analysis, offering significant financial and operational benefits.
Sentiment score
7.1
Oracle Database Appliance offers long-term value with efficient support and quality, ensuring positive ROI despite variable setup complexity.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive but varies in speed, with community resources and documentation aiding user satisfaction.
Sentiment score
6.2
Oracle Database Appliance customer service is generally solid but faces criticism for costs, response times, and mixed hardware service experiences.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory excels in scalability, efficiently managing workloads for any size, despite higher costs than alternatives.
Sentiment score
6.6
Oracle Database Appliance offers scalable CPU and storage options but faces limitations in on-premises scalability and storage scalability.
Azure Data Factory is highly scalable.
All enterprise-grade analytics tools allow rapid scaling, making our business more competitive.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, but faces integration challenges and requires enhancements to compete with top competitors.
Sentiment score
7.5
Oracle Database Appliance is praised for stability and performance, with minor issues resolved by support and high satisfaction ratings.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory needs improved integration, better scheduling, enhanced UI, simplified pricing, more connectors, and responsive support.
Oracle Database Appliance requires improved scalability, flexibility, integration, and pricing, along with AI features and better support.
There is a problem with the integration with third-party solutions, particularly with SAP.
When using Git services, there are challenges with linked services and triggers getting overridden when moving between different environments (Dev, UAT, Prod).
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is room for improvement in better integration with third-party tools, such as Power BI or Redshift.
 

Setup Cost

Azure Data Factory pricing is usage-based and cost-effective, but large data volumes can lead to increased expenses.
Oracle Database Appliance is cost-effective for its value, but licensing and support can be expensive compared to alternatives.
The pricing is cost-effective.
It is considered cost-effective.
Oracle is on the higher end of the pricing spectrum, along with SAP.
 

Valuable Features

Azure Data Factory provides seamless data integration, robust transformations, scalability, and strong SAP support, praised for its ease of use.
Oracle Database Appliance offers easy deployment, scalability, high performance, and seamless integration, popular for data processing and application hosting.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
The most valuable feature is the ease of dashboarding and ease of reporting.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
Oracle Database Appliance
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
44
Ranking in other categories
Data Warehouse (5th)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Ahmed-Yehia - PeerSpot reviewer
Enhanced performance and simplified operations with integrated features
All improvements for ODA are already applied or enhanced in Exadata. ODA is mainly for small businesses or limited businesses and is used predominantly for database warehouses and not for OLTP databases. You can only scale storage, not developer nodes. It's priced a little higher, which could be optimized for small or medium businesses.
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Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Financial Services Firm
29%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
What do you like most about Oracle Database Appliance?
Oracle Database Appliance provides high stability.
What is your experience regarding pricing and costs for Oracle Database Appliance?
While I'm somewhat familiar with standard licensing, pricing isn't really my area of expertise. However, Oracle is on the higher end of the pricing spectrum, along with SAP.
What needs improvement with Oracle Database Appliance?
There is room for improvement in better integration with third-party tools, such as Power BI or Redshift. When dealing with federated data sources, this integration can be a challenge.
 

Also Known As

No data available
X5-2
 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
LifeLock, Incarlopsa, Al Yusur Industrial Contracting
Find out what your peers are saying about Azure Data Factory vs. Oracle Database Appliance and other solutions. Updated: June 2025.
857,028 professionals have used our research since 2012.