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Azure Data Factory vs Oracle Data Integrator Cloud Service comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Number of Reviews
85
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Oracle Data Integrator Clou...
Average Rating
8.0
Number of Reviews
7
Ranking in other categories
Cloud Data Integration (23rd)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 11.1%, down 13.3% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 0.4% mindshare, up 0.1% since last year.
Data Integration
Cloud Data Integration
 

Featured Reviews

Camilo Velasco - PeerSpot reviewer
Oct 27, 2022
No deployment cost, quick implementation, pay only for the processing time and data
The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…
Peeyush Chouksey - PeerSpot reviewer
Apr 29, 2022
Allows us to integrate different cloud services with different applications
We use this solution to integrate ERP SCM cloud services with different applications. We are integrating all those different cloud services using Oracle Integration Cloud It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot. When it comes to mapping, you…

Quotes from Members

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

Pros

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"In terms of my personal experience, it works fine."
"The solution is okay."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Powerful but easy-to-use and intuitive."
"Data Factory's best features are simplicity and flexibility."
"It's extremely consistent."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The solution is easy to manage and offers good integration. You can run all the tasks one by one which is really helpful, and pick the day and time to do so."
"It's on the cloud, so it's scalable and quite easy to work with."
"Having a single vendor supporting the entire suite of applications."
"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."
"Oracle integration cloud has got the adapters for all their products, which makes integration faster."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
"The most valuable thing to me is its simplicity. A person with zero knowledge can also develop the integration without having extensive technology knowledgebase. They can also work on creating their own integration."
 

Cons

"We require Azure Data Factory to be able to connect to Google Analytics."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"The one element of the solution that we have used and could be improved is the user interface."
"Data Factory's cost is too high."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"When we initiated the cluster, it took some time to start the process."
"The product integration with advanced coding options could cater to users needing more customization."
"It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process straightforward."
"I would like to see different cloud adapters or connectors in case of integration. When you have Oracle to Oracle, they are good. They have really good connectors, but if it is a different ERP, like Obsidian, that is where they are faced with problems in OIC."
"Bulk uploading can be a problem when you hit the upper limit."
"This is an expensive solution compared to other products on the market."
"I've found technical support not very effective. They should work to improve their services."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"The pricing could be more competitive."
 

Pricing and Cost Advice

"The licensing is a pay-as-you-go model, where you pay for what you consume."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"The pricing model is based on usage and is not cheap."
"Data Factory is expensive."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Data Factory is affordable."
"The price is competitive compared to Boomi which is much higher."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
7%
No data available
 

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 Data Integrator Cloud Service?
The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process.
What needs improvement with Oracle Data Integrator Cloud Service?
It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process str...
 

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
Amplifon
Find out what your peers are saying about Azure Data Factory vs. Oracle Data Integrator Cloud Service and other solutions. Updated: May 2023.
814,649 professionals have used our research since 2012.