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Azure Data Factory vs Oracle Exadata comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
86
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Oracle Exadata
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
126
Ranking in other categories
Data Warehouse (2nd)
 

Featured Reviews

Thulani David Mngadi - PeerSpot reviewer
Data flow feature is valuable for data transformation tasks
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.
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.

Quotes from Members

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

Pros

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"It is a complete ETL Solution."
"It makes it easy to collect data from different sources."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."
"The trigger scheduling options are decently robust."
"I can do everything I want with SSIS and Azure Data Factory."
"Exadata with the In-Memory option is several levels about SAP HANA."
"The offloading of data to the SIM is a valuable feature."
"Exadata's best features are its performance during redo logging and the elasticity of the database handling."
"Compression is a great feature, where one can really save a lot of storage."
"We can use virtualization on Exadata."
"They just have a lot of products, and they work well together."
"On-premises Exadata is just as stable as the cloud version. It's a very stable platform."
"The most valuable feature of Oracle Exadata is the storage available."
 

Cons

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"The one element of the solution that we have used and could be improved is the user interface."
"It would be better if it had machine learning capabilities."
"The product integration with advanced coding options could cater to users needing more customization."
"The setup and configuration process could be simplified."
"I have not found any real shortcomings within the product."
"Data Factory's monitorability could be better."
"Setting up Exadata is complex. You need an Oracle vendor or someone who is Oracle-certified to set it up."
"The handling of temp space has room for improvement."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"We have experienced some issues with processing unstructured data on Exadata. This is an important requirement for our AIML based use case. Reactive analytics data can not be prepared easily in Oracle Exadata."
"One small area for improvement in Oracle Exadata is integration, particularly at the consolidated application level."
"Oracle Exadata could improve by having faster data retrieval. We receive data at four or five seconds and want to reduce that number to one second."
"The solution lacks a visualized console."
"The solution takes a lot of time to clone the environment. I would like to see some improvement in the cloning support or the time it takes on the storage side."
 

Pricing and Cost Advice

"The price is fair."
"Understanding the pricing model for Data Factory is quite complex."
"The pricing is a bit on the higher end."
"This is a cost-effective solution."
"Product is priced at the market standard."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"It's not particularly expensive."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"The licensing can be a bit expensive because you need to have certain tools enabled that require them."
"The price of Oracle Exadata is competitive. There are some features that are outside of the initial purchase license, such as some monitoring packages."
"I'm giving Oracle Exadata five out of ten in terms of pricing. Its price could be lower."
"The Initial investment price could use improvement"
"It is an expensive product and you pay more for certain performance enhancements."
"The cost of the product could be improved."
"It is quite expensive."
"The pricing of Oracle Exadata is too high."
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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
30%
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: October 2024.
816,406 professionals have used our research since 2012.