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Azure Data Factory vs Oracle Autonomous Data Warehouse comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

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

Categories and Ranking

Azure Data Factory
Ranking in Cloud Data Warehouse
3rd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st)
Oracle Autonomous Data Ware...
Ranking in Cloud Data Warehouse
10th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of Azure Data Factory is 8.4%, down from 10.1% compared to the previous year. The mindshare of Oracle Autonomous Data Warehouse is 4.6%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

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.
Miodrag Milojevic - PeerSpot reviewer
A tool for data warehousing that offers scalability, stability, and ease of setup
The initial setup of Oracle Autonomous Data Warehouse is easy and basic, especially if one doesn't use the tricks to get Oracle Exadata for use. One doesn't need to know or be involved in technical stuff to do the setup since, at the least, knowledge might be required when working with some external connections, but it is easy because everything can be done within a couple of clicks. The solution is deployed on the cloud. For deployment, you don't need any technical guidance since you can sit, find it on the web, and prepare an Oracle Autonomous Data Warehouse platform by yourself for free for a limited time. The people needed for the deployment and maintenance depend on the implementation one wants. If you do a simple implementation, you don't need anybody for maintenance since everything is on the cloud. You only have to schedule your backup or see if Oracle can schedule a backup, and you don't take care of the backup. For some more sophisticated or technical implementations, you will need staff for some data warehouse except for some parts of the maintenance like backup, patches, or upgrades since these are a few things you take care of in the background, and you only seek help with the maintenance part, if needed.

Quotes from Members

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

Pros

"Azure Data Factory is a low code, no code platform, which is helpful."
"From what we have seen so far, the solution seems very stable."
"We haven't had any issues connecting it to other products."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"The initial setup is very quick and easy."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."
"The solution is used for analytics and it works for our data security needs."
"The analytics have been very good. We've found them to be quite useful."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"One advantage is that if you already have an Oracle Database, it easily integrates with that."
"Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets."
"It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."
"I really like the auto-tuning, auto-scaling, and the automatic load balancing and query tuning in the system."
"The solution integrates well with Power BI."
 

Cons

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"The pricing model should be more transparent and available online."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Data Factory's performance during heavy data processing isn't great."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"I would like to see an on-premise solution in the future."
"There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it."
"We are not satisfied with the technical support. Their understanding is lacking."
"A lot of the tools that were previously there have now been taken away."
"The setup is complex."
"I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end."
"They should make the solution more user-friendly."
"My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on top of a JSON file with multiple array columns or superset columns, those column values create some difficulty in Oracle."
 

Pricing and Cost Advice

"This is a cost-effective solution."
"Product is priced at the market standard."
"I would rate Data Factory's pricing nine out of ten."
"The price is fair."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"The solution is expensive."
"The price depends on the configuration we choose."
"The solution's cost is reasonable."
"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
"Oracle Autonomous Data Warehouse's pricing is fair and reasonable compared to the other cloud vendors."
"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."
"You pay as you go, and you don't pay for services that you don't use."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Educational Organization
49%
Financial Services Firm
8%
Computer Software Company
7%
Manufacturing Company
4%
 

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 Autonomous Data Warehouse?
With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main...
What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
 

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
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Find out what your peers are saying about Azure Data Factory vs. Oracle Autonomous Data Warehouse and other solutions. Updated: March 2025.
844,944 professionals have used our research since 2012.