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Azure Data Factory vs Oracle Exadata 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
7.1
Azure Data Factory automates data processes, cuts costs, and improves efficiency, offering potential ROI of 20%-30% over five years.
Sentiment score
6.6
Oracle Exadata offers up to 300% ROI with significant cost savings and efficiencies, despite a learning curve.
The investment is good, which is why people choose this hardware.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive and helpful, though response times and efficiency vary based on issue complexity and support package.
Sentiment score
6.6
Oracle Exadata customer service is praised for improvements but faces challenges with response times and support system navigation.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
Exadata comes with a platinum gateway and comprehensive support, which often gets immediate attention with severity one cases.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is scalable and flexible for enterprises, though some concerns about costs and external integration exist.
Sentiment score
7.6
Oracle Exadata provides scalable solutions with efficient resource management, though some users face challenges with cross-generation upgrades.
Azure Data Factory is highly scalable.
Within a site, scalability is excellent.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is reliable, scoring 8-9/10, though some report occasional glitches or slowdowns under heavy loads.
Sentiment score
7.8
Oracle Exadata is highly stable and reliable, with minimal downtime and high-availability features praised by users.
The solution has a high level of stability, roughly a nine out of ten.
Once installed, Exadata is very stable.
 

Room For Improvement

Azure Data Factory needs better integration, simplified UI, improved connectivity, enhanced support, clearer pricing, and performance scalability for large data.
Oracle Exadata's high cost, licensing complexity, and technical issues reduce appeal, with users seeking better integration and support.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
I cannot create an extended rack cluster with one node on one site and another node on a different site.
 

Setup Cost

Azure Data Factory has complex pricing, with costs varying widely due to usage, data volume, and additional services.
High costs reflect Oracle Exadata's performance benefits; enterprises value integrated components and negotiate discounts for large-scale deployments.
The pricing is cost-effective.
It is considered cost-effective.
 

Valuable Features

Azure Data Factory provides scalable data transformation, integration, and orchestration with user-friendly interface and extensive connector support.
Oracle Exadata enhances performance and efficiency with features like Smart Scan and Flash Cache, offering high availability and scalability.
It connects to different sources out-of-the-box, making integration much easier.
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.
It also offers high backend speed between self-storage units and servers, which is beneficial for processing.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
88
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
127
Ranking in other categories
Data Warehouse (2nd)
 

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.
Guruprasad Gonjare - PeerSpot reviewer
Offers a variety of valuable features
The deployment depends on the Exadata options. There are primarily three options which include, Exadata, Exadata Cloud@Customer, and Exadata Cloud Service. Out of these, Cloud Service requires the minimum effort. The deployment takes around two to three weeks to complete. For the deployment purpose, we need information on the user base where the access is going to happen. We would also require around four to five engineers and admins for the solution’s deployment and maintenance. This estimation is based on the workflow.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
29%
Computer Software Company
13%
Manufacturing Company
6%
Government
5%
 

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 Exadata?
It is the best solution for OLTP and data warehousing.
What is your experience regarding pricing and costs for Oracle Exadata?
The pricing of Exadata is high. It is more expensive than usual, making it suitable only for big enterprises or businesses that can afford it.
What needs improvement with Oracle Exadata?
I would like to add some features to run applications or microservices-based applications on Exadata.
 

Learn More

 

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
PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
Find out what your peers are saying about Azure Data Factory vs. Oracle Exadata and other solutions. Updated: December 2024.
830,455 professionals have used our research since 2012.