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Azure Data Factory vs Oracle Data Integrator Cloud Service comparison

The compared Microsoft and Oracle solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.2, and holds a 5.6% mindshare in the category. Oracle is ranked #21 in CDI , with an average rating of 9.0, and holds a 0.6% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.
Azure Data Factory
Read 92 Azure Data Factory reviews
  • 14,334 Views
  • 10,034 Comparison Views
92% willing to recommend
Oracle Data Integrator Clou...
Read 7 Oracle Data Integrator Cloud Service reviews
  • 460 Views
  • 147 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Azure Data Factory and Oracle Data Integrator Cloud Service based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed Azure Data Factory vs. Oracle Data Integrator Cloud Service Report (Updated: May 2023).
Buyer's Guide
Azure Data Factory vs. Oracle Data Integrator Cloud Service
May 2023
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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
6.9
Number of Reviews
92
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
Oracle Data Integrator Clou...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
7
Ranking in other categories
Cloud Data Integration (21st)
 

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 5.6%, down 11.6% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 0.6% mindshare, up 0.2% since last year.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.6%
Informatica PowerCenter6.3%
SSIS5.9%
Other82.2%
Data Integration
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
Oracle Data Integrator Cloud Service0.6%
AWS Glue15.3%
AWS Database Migration Service11.9%
Other72.2%
Cloud Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
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.
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Peeyush Chouksey - PeerSpot reviewer
Allows us to integrate different cloud services with different applications
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 are quite restricted. If you have to use a specific, typical function, you need to do a Java callout or something. OSB has a lot of features they are using like Java APIs because it's on-premises.
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Quotes from Members

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

Pros

"The most valuable feature is the ease in which you can create an ETL pipeline."
"The solution is okay."
"The solution can scale very easily."
"Azure Data Factory is a low code, no code platform, which is helpful."
"The most valuable feature of this solution would be ease of use."
"I am one hundred percent happy with the stability."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The most valuable aspect is the copy capability."
More Azure Data Factory pros
"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."
"It's on the cloud, so it's scalable and quite easy to work with."
"Oracle integration cloud has got the adapters for all their products, which makes integration faster."
"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."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
"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."
 

Cons

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"The initial setup is not very straightforward."
"The product could provide more ways to import and export data."
More Azure Data Factory cons
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"I've found technical support not very effective. They should work to improve their services."
"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."
"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."
"The pricing could be more competitive."
"Bulk uploading can be a problem when you hit the upper limit."
"This is an expensive solution compared to other products on the market."
 

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"Data Factory is affordable."
"This is a cost-effective solution."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"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."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"The solution's pricing is competitive."
More Azure Data Factory pricing and cost advice
"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
12%
Manufacturing Company
9%
Government
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
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.
See all answers
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...
See all answers
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...
See all answers
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.
See all answers
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...
See all answers
What is your primary use case for Oracle Data Integrator Cloud Service?
I have experience working with Korean Telecom (Katie) on various projects involving data integration, especially with Oracle databases. These projects included tasks such as data collection, ETL (E...
See all answers
 

Comparisons

Snowflake vs Azure Data Factory Logo
Snowflake vs Azure Data Factory
Compared 8% of the time
Informatica PowerCenter vs Azure Data Factory Logo
Informatica PowerCenter vs Azure Data Factory
Compared 6% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory
Compared 6% of the time
Palantir Foundry vs Azure Data Factory Logo
Palantir Foundry vs Azure Data Factory
Compared 5% of the time
FME vs Azure Data Factory Logo
FME vs Azure Data Factory
Compared 5% of the time
More Azure Data Factory Competitors
Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Integrator Cloud Service Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Integrator Cloud Service
Compared 100% of the time
More Oracle Data Integrator Cloud Service Competitors
 

Product Reports

Buyer's Guide
Azure Data Factory
September 2025
Azure Data Factory reportDownload Azure Data Factory product report
Buyer's Guide
Oracle Data Integrator Cloud Service
August 2025
Oracle Data Integrator Cloud Service reportDownload Oracle Data Integrator Cloud Service product report
 

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

Oracle Data Integrator Cloud Service provides pushdown data processing; high performance ETL with less data movement which is best for the Cloud. Oracle Data Integrator Cloud Service executes data transformations where the data lies without having to copy data unnecessarily to remote locations.

Oracle
 

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
Buyer's Guide
Azure Data Factory vs. Oracle Data Integrator Cloud Service
May 2023
Free Report: Azure Data Factory vs. Oracle Data Integrator Cloud Service
Find out what your peers are saying about Azure Data Factory vs. Oracle Data Integrator Cloud Service and other solutions. Updated: May 2023.
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