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 2.4% 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 94 Azure Data Factory reviews

11,377 Views
7,850 Comparison Views

92% willing to recommend

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

931 Views
447 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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Helped 889,855 peers since 2012

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 9.2% compared to last year.
Oracle Data Integrator Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 1.2% mindshare, up 0.3% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.4%
Informatica Intelligent Data Management Cloud (IDMC)	3.5%
SSIS	3.5%
Other	90.6%

Data Integration

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Oracle Data Integrator Cloud Service	1.2%
AWS Glue	8.2%
AWS Database Migration Service	6.7%
Other	83.9%

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 trigger scheduling options are decently robust."

"From my experience so far, the best feature is the ability to copy data to any environment."

"Data Factory lets us consolidate those steps into a single pipeline."

"If you have Azure as a cloud service and you want to perform ETL then Azure Data Factory is a product that I can recommend."

"Powerful but easy-to-use and intuitive."

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

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

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

More Azure Data Factory pros

"This is a well-established product that's good to have if you hold an Oracle suite of applications."

"Oracle integration cloud has got the adapters for all their products, which makes integration faster."

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

"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."

"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."

"Having a single vendor supporting the entire suite of applications."

"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."

More Oracle Data Integrator Cloud Service pros

Cons

"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."

"When we initiated the cluster, it took some time to start the process."

"There is no built-in pipeline exit activity when encountering an error."

"If the user interface was more user friendly and there was better error feedback, it would be helpful."

"The support and the documentation can be improved."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

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

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

More Azure Data Factory cons

"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."

"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."

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

"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."

"The pricing could be more competitive."

"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."

More Oracle Data Integrator Cloud Service cons

Pricing and Cost Advice

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

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

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

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

"The solution's pricing is competitive."

"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."

"Product is priced at the market standard."

"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

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

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

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Databricks 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 32% of the time

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

Compared 18% 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 9% 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 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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