Azure Data Factory vs Oracle Data Integrator Cloud Service comparison

Why PeerSpot?

The compared Microsoft and Oracle solutions aren't in the same category. Microsoft is ranked #6 in DI , with an average rating of 8.0, and holds a 2.2% mindshare in the category. Oracle is ranked #31 in CDI , and holds a 1.2% 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 97 Azure Data Factory reviews

16,078 Views
11,255 Comparison Views

92% willing to recommend

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

1,981 Views
991 Comparison Views

100% willing to recommend

Azure Data Factory

Oracle Data Integrator Clou...

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 what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2026).

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Data Integration

October 2026

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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

6.7

Number of Reviews

Ranking in other categories

Data Integration (6th), Cloud Data Warehouse (8th)

Oracle Data Integrator Clou...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (31st)

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 2.2%, down 4.4% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 1.2% mindshare, up 0.8% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
SSIS	4.0%
Informatica Intelligent Data Management Cloud (IDMC)	3.8%
Other	90.0%

Data Integration

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Oracle Data Integrator Cloud Service	1.2%
AWS Glue	7.4%
AWS Database Migration Service	7.2%
Other	84.2%

Cloud Data Integration

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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Aditya Devaguptapu

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.

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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 scalability of the product is impressive."

"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."

"The most valuable aspect is the copy capability."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"It is very modular; it works well, is very flexible, and you can easily bring in outside capabilities and build any features you want."

"I like the basic features like the data-based pipelines."

"The most valuable features are data transformations."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

More Azure Data Factory pros

"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."

"It's on the cloud, so it's scalable and quite easy to work with."

"The solution is very stable and it's great once you get it working correctly."

"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 data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."

"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 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."

More Oracle Data Integrator Cloud Service pros

Cons

"I did not see any positive impact from Azure Data Factory overall."

"Azure Data Factory is a bit complicated compared to Informatica. There are a lot of connectors that are missing and there are a lot of instances where I need to create a server and install Integration Runtime."

"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."

"The performance and stability are touch and go."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with 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."

More Azure Data Factory cons

"The pricing could be more competitive."

"The solution is expensive."

"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."

"This is an expensive solution compared to other products on the market."

"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've found technical support not very effective. They should work to improve their services."

"The solution could be improved when it comes to bulk uploading; there are problems with it when you hit the upper limit."

"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."

More Oracle Data Integrator Cloud Service cons

Pricing and Cost Advice

"Understanding the pricing model for Data Factory is quite complex."

"The pricing is a bit on the higher end."

"This is a cost-effective solution."

"ADF is cheaper compared to AWS."

"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."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

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

Manufacturing Company

10%

Financial Services Firm

10%

Outsourcing Company

Construction Company

Outsourcing Company

25%

Construction Company

12%

Comms Service Provider

12%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

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...

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Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Integrator Cloud Service

Compared 14% of the time

Oracle GoldenGate Cloud Service vs Oracle Data Integrator Cloud Service

Compared 12% of the time

Oracle Data Integrator (ODI) vs Oracle Data Integrator Cloud Service

Compared 8% of the time

SharePlex vs Oracle Data Integrator Cloud Service

Compared 7% of the time

Jitterbit Harmony vs Oracle Data Integrator Cloud Service

Compared 6% of the time

More Oracle Data Integrator Cloud Service Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

Oracle Data Integrator Cloud Service

October 2026

Oracle Data Integrator Cloud Service report

Download 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 is designed for integrating, building tables and data marts with ease. It seamlessly integrates with Oracle and non-Oracle sources like MSS, Hadoop, and MySQL, supporting cloud data storage and multi-server data downloads.

Oracle Data Integrator Cloud Service simplifies data integration and ETL processes. Users find its native adapters useful for quick implementation and complex tasks. While appreciated for ease of use without requiring extensive technical expertise, some improvements are needed, such as better browser accessibility and mapping features. Although seen as expensive, it supports scheduling, ERP SCM integration, and SaaS finances, aiding in data orchestration across cloud and third-party systems.

What are the key features of Oracle Data Integrator Cloud Service?

Integration with Oracle Apps: Ensures seamless connectivity with other Oracle offerings.
Data Access Simplification: Simplifies data retrieval from sources like Oracle, MSS, Hadoop, and MySQL.
Native Adapters: Accelerates implementation for both basic and complex tasks.
Scheduling and Data Storage: Provides robust scheduling options and cloud-based storage solutions.
Multi-Server Downloads: Facilitates efficient data handling across multiple servers.

What benefits and ROI should be expected from Oracle Data Integrator Cloud Service?

Ease of Use: Intuitive design reduces the need for extensive technical knowledge.
Comprehensive Integration: Supports wide-ranging ERP and cloud service integrations.
Time Efficiency: Faster implementation leads to quicker time-to-value.
Enhanced Data Management: Simplifies and streamlines ETL processes.
Scalability: Supports extensive data orchestration and large-scale cloud implementations.

Oracle Data Integrator Cloud Service is relied upon across industries for building data warehouses and integrating systems. Companies use it to implement ETL processes and integrate ERP SCM cloud services with SaaS finances and third-party apps. It is crucial for orchestrating comprehensive cloud-based system implementations.

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

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