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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 offers significant time, effort, and infrastructure savings, enhancing data analysis and decision-making capabilities.
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 praised for responsiveness, though some report delays; satisfaction varies with Microsoft partnerships.
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.
The technical support for Azure Data Factory is generally acceptable.
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 scales efficiently, managing large datasets for enterprises, though users note cost and integration limitations.
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 highly rated for stability, scalability, and performance, despite occasional minor issues with larger data volumes.
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 requires improvements in integration, pricing, documentation, UI, monitoring, processing, and debugging for enhanced user experience.
Oracle Exadata's high cost, licensing complexity, and technical issues reduce appeal, with users seeking better integration and support.
There is a problem with the integration with third-party solutions, particularly with SAP.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There are minor areas where improvement is needed, such as making the user interface more user-friendly and enhancing configuration and customization options.
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 offers competitive, flexible pay-as-you-go pricing; costs vary by data volume and use of 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.
I would rate the price an eight on a scale from one to ten, indicating it is fairly expensive.
 

Valuable Features

Azure Data Factory enables easy data integration, management, and transformation with over 100 connectors, supporting ETL and automation efficiently.
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.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
The most valuable features of Oracle Exadata are its high availability and cluster environment.
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
90
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
128
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.
Anand_Kumar - PeerSpot reviewer
A solid data warehouse for transactional data that needs to be priced more competitively
Since the product is an appliance, it is very costly. And in the current age, people are cautious about spending this amount of money on any of these types of backend products. Some use cases are in real-time, where all other databases are much faster, but if you talk about the data warehouse, business intelligence, and all other perspectives in the transactional world, Oracle has to reduce the cost. Otherwise, a customer wouldn't want to continue this. If the same thing can be done at half or one-third of the cost, why would people stay with Oracle? Oracle Exadata would not have great value in front of a CFO. Other solutions can guard your data and address security concerns. Security, volumetrics, and so on are also provided by other databases, which are not that costly. Apart from Exadata, Oracle has other tools for business intelligence and other things, which they add on top of Exadata when they're selling a general license. For example, the Vertica database, an HP data warehouse. They have come up with their own analytic engine within the database, which gives an edge for the client to use the data analytics engine as a part of their database. Exadata does not have an analytic engine. Even MySQL has some statistical tools within it. If Exadata integrates analytical tools, it will be good for them.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
32%
Computer Software Company
12%
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?
Also considered an advantage, the main drawback is the inability to cluster two Exadata systems across sites. For example, with one node on one site and another node on a different site, I cannot c...
 

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: March 2025.
846,617 professionals have used our research since 2012.