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 8.2, and holds a 2.4% mindshare in the category. Oracle is ranked #28 in CDI , and holds a 1.3% 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 94 Azure Data Factory reviews

12,241 Views
8,446 Comparison Views

92% willing to recommend

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

1,105 Views
553 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 in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

6.8

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 2.4%, 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
Product	Mindshare (%)
Azure Data Factory	2.4%
SSIS	3.7%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	90.3%

Data Integration

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Oracle Data Integrator Cloud Service	1.3%
AWS Glue	7.6%
Informatica Intelligent Data Management Cloud (IDMC)	6.8%
Other	84.3%

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

"My only advice is that Azure Data Factory, particularly for data ingestion, is a good choice."

"I am one hundred percent happy with the stability."

"The user interface is very good; it makes me feel very comfortable when I am using the tool."

"It is a complete ETL Solution."

"It is beneficial that the solution is written with Spark as the back end."

"Allows more data between on-premises and cloud solutions"

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"Azure Data Factory is a good tool."

More Azure Data Factory pros

"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."

"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."

"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."

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

More Oracle Data Integrator Cloud Service pros

Cons

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"But, I feel that if the usage extends beyond a certain threshold, it will start getting expensive."

"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."

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

"It would be helpful if they could adjust the data capture feature so that when there are source-side changes ADF could automatically figure it out."

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"As far as customer service and support with Azure Data Factory, we are not always satisfied with the response time."

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."

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."

"Bulk uploading can be a problem when you hit the upper limit."

"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."

"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."

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

"The solution is expensive."

More Oracle Data Integrator Cloud Service cons

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."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"Pricing appears to be reasonable in my opinion."

"This is a cost-effective solution."

"I don't see a cost; it appears to be included in general support."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not 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

10%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

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 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

Databricks vs Azure Data Factory

Compared 3% of the time

Oracle Data Integrator (ODI) 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 33% of the time

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

Compared 17% of the time

Oracle GoldenGate Cloud Service vs Oracle Data Integrator Cloud Service

Compared 17% of the time

Jitterbit Harmony vs Oracle Data Integrator Cloud Service

Compared 11% of the time

Fivetran vs Oracle Data Integrator Cloud Service

Compared 8% of the time

More Oracle Data Integrator Cloud Service Competitors

Product Reports

Buyer's Guide

Azure Data Factory

April 2026

Download Azure Data Factory product report

Buyer's Guide

Oracle Data Integrator Cloud Service

April 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

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

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