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 #4 in DI , with an average rating of 8.1, and holds a 2.3% mindshare in the category. Oracle is ranked #28 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 96 Azure Data Factory reviews

12,975 Views
9,083 Comparison Views

92% willing to recommend

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

1,208 Views
604 Comparison Views

100% willing to recommend

Azure Data Factory

Oracle Data Integrator Clou...

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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: June 2026).

Buyer's Guide

Data Integration

June 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 (4th), Cloud Data Warehouse (5th)

Oracle Data Integrator Clou...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

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 2.3%, down 8.1% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 1.2% mindshare, up 0.2% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.3%
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
SSIS	3.6%
Other	90.4%

Data Integration

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Oracle Data Integrator Cloud Service	1.2%
AWS Glue	7.6%
Informatica Intelligent Data Management Cloud (IDMC)	6.7%
Other	84.5%

Cloud Data Integration

Featured Reviews

KandaswamyMuthukrishnan

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.

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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 best part of this product is the extraction, transformation, and load."

"The solution is okay."

"The trigger scheduling options are decently robust."

"Data Factory's most valuable feature is Copy Activity."

"We have used other ETL solutions in the past, and Azure Data Factory is the best one."

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."

"Data Factory itself is great, it's pretty straightforward, you can easily add sources, join and lookup information, etc., and the ease of use is pretty good."

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

More Azure Data Factory pros

"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."

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

"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."

"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 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."

More Oracle Data Integrator Cloud Service pros

Cons

"Some prebuilt data source or data connection aspects are generic."

"It can improve from the perspective of active logging. It can provide active logging information."

"When the record fails, it's tough to identify and log."

"The initial setup is not very straightforward."

"Technical support isn't the best, as it's a bit delayed at times. Whenever we need some urgent support, wherein we have to restart or something has stuck, it takes a bit of time."

"Additionally, the ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features."

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

More Azure Data Factory cons

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

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

"The solution is expensive."

"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."

"The pricing could be more competitive."

"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."

"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

"Pricing is comparable, it's somewhere in the middle."

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

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

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"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."

"This is a cost-effective solution."

"Data Factory is expensive."

"The solution is cheap."

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

12%

Computer Software Company

Manufacturing Company

Healthcare Company

Construction Company

16%

Comms Service Provider

12%

Outsourcing Company

10%

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	63

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 5% of the time

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

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry 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 25% of the time

Oracle GoldenGate Cloud Service vs Oracle Data Integrator Cloud Service

Compared 16% of the time

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

Compared 12% of the time

Jitterbit Harmony vs Oracle Data Integrator Cloud Service

Compared 9% of the time

Fivetran 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

June 2026

Download Azure Data Factory product report

Buyer's Guide

Oracle Data Integrator Cloud Service

May 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

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Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: June 2026.

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