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Azure Data Factory vs Oracle Data Integrator Cloud Service 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:
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
94
Ranking in other categories
Data Integration (3rd), Cloud Data Warehouse (4th)
Oracle Data Integrator Clou...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
7
Ranking in other categories
Cloud Data Integration (28th)
 

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 2.4%, down 9.2% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 1.2% mindshare, up 0.3% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.4%
Informatica Intelligent Data Management Cloud (IDMC)3.5%
SSIS3.5%
Other90.6%
Data Integration
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Oracle Data Integrator Cloud Service1.2%
AWS Glue8.2%
AWS Database Migration Service6.7%
Other83.9%
Cloud Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Director at a computer software company with 1,001-5,000 employees
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
AD
Senior Solution Architect at a financial services firm with 10,001+ employees
A well-established product that meets all our specifications in terms of usability
In the initial stage when we went with Data Integrator Cloud Service it was primarily the nativity factor that was key for us. Having a single vendor supporting the entire suite of applications, and the ability to configure activities and direct integration with various other Oracle products, were the main attractive features within ODI. This is a well-established product that's good to have if you hold an Oracle suite of applications. It meets all our specifications in terms of usability.

Quotes from Members

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

Pros

"The overall performance is quite good."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"Data Factory's best features are simplicity and flexibility."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"Azure Data Factory is a good tool."
"Azure Data Factory is great because it's a cloud service; you do not have to take care of the installation and configuration yourself."
"Azure Data Factory is a low code, no code platform, which is helpful."
"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."
"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 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."
"The solution is very stable and it's great once you get it working correctly."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
"This is a well-established product that's good to have if you hold an Oracle suite of applications."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
 

Cons

"The only challenge with Azure Data Factory is its exception-handling mechanism."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"I have encountered a problem with the integration with third-party solutions, particularly with SAP."
"The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score."
"This is an expensive solution compared to other products on the market."
"The pricing could be more competitive."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"The solution could be improved when it comes to bulk uploading; there are problems with it when you hit the upper limit."
"I've found technical support not very effective. They should work to improve their services."
"Licensing costs for this Oracle solution are expensive. ODI forms an integral part of the overall PaaS solution and becomes a kind of backbone for that particular service, which is painful because from a PaaS perspective, the licensing costs just shoot off the roof."
"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."
 

Pricing and Cost Advice

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"Product is priced at the market standard."
"ADF is cheaper compared to AWS."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Data Factory is expensive."
"The cost is based on the amount of data sets that we are ingesting."
"The pricing is a bit on the higher end."
"The price is competitive compared to Boomi which is much higher."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
9%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise57
By reviewers
Company SizeCount
Small Business3
Large Enterprise4
 

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...
Ask a question
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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.
886,468 professionals have used our research since 2012.