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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 (4th), Cloud Data Warehouse (5th)
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 8.6% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 1.3% mindshare, up 0.2% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.4%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other90.3%
Data Integration
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Oracle Data Integrator Cloud Service1.3%
AWS Glue7.6%
Informatica Intelligent Data Management Cloud (IDMC)6.8%
Other84.3%
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

"I like that it's a monolithic data platform. This is why we propose these solutions."
"Instead of individual people reviewing these files, we were able to automate the ingestion process, which saved a bunch of time and hours of repeated manual work."
"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."
"I am one hundred percent happy with the stability."
"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."
"I like that it's a monolithic data platform."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
"Oracle integration cloud has got the adapters for all their products, which makes the integration a little faster and makes it easier to implement the integration quickly."
"This is a well-established product that's good to have if you hold an Oracle 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."
"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."
"Oracle integration cloud has got the adapters for all their products, which makes integration faster."
 

Cons

"When the record fails, it's tough to identify and log."
"Real-time replication is required, and this is not a simple task."
"We require Azure Data Factory to be able to connect to Google Analytics."
"The stability of Azure as a PaaS could be improved."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"I have encountered a problem with the integration with third-party solutions, particularly with SAP."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"Bulk uploading can be a problem when you hit the upper limit."
"I've found technical support not very effective. They should work to improve their services."
"This is an expensive solution compared to other products on the market."
"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."
"The pricing could be more competitive."
"The solution is expensive."
"I've found technical support not very effective. They should work to improve their services."
 

Pricing and Cost Advice

"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."
"I would rate Data Factory's pricing nine out of ten."
"Data Factory is expensive."
"The solution's pricing is competitive."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"The pricing model is based on usage and is not cheap."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"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...
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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.
892,678 professionals have used our research since 2012.