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 95 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...

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.

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

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

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

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

"Azure Data Factory is a very easy to use tool."

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

"It works very well with Azure Data Factory to pull the records, parse them quickly and post them in the database and data warehouse."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

More Azure Data Factory pros

"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."

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

"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."

"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."

More Oracle Data Integrator Cloud Service pros

Cons

"Understanding the pricing model for Data Factory is quite complex. It needs to be simplified, and easier to understand."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

"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."

"To my mind, the solution needs to be more connectable to its own services."

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

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

More Azure Data Factory cons

"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 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."

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

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

"The pricing could be more competitive."

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

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

More Oracle Data Integrator Cloud Service cons

Pricing and Cost Advice

"The licensing cost is included in the Synapse."

"The price is fair."

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

"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."

"Pricing appears to be reasonable in my opinion."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

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

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	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

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

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 3% of the time

Palantir Foundry 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 30% 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 15% of the time

Jitterbit Harmony vs Oracle Data Integrator Cloud Service

Compared 10% 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

May 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

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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