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Azure Data Factory vs Oracle Integration Cloud Service comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.3
Azure Data Factory enhances efficiency, centralizes data, reduces costs, and improves data analysis, offering significant financial and operational benefits.
Sentiment score
8.3
Oracle Integration Cloud boosts ROI by shortening development cycles and reducing operational and administrative efforts through automation.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive but varies in speed, with community resources and documentation aiding user satisfaction.
Sentiment score
6.0
Oracle Integration Cloud Service support is generally knowledgeable but experiences vary, with users noting improvement needs in response times.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
I find the technical support from Oracle to be good.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory excels in scalability, efficiently managing workloads for any size, despite higher costs than alternatives.
Sentiment score
7.8
Oracle Integration Cloud scales well for medium implementations but faces constraints with large data, impacting performance and licensing cost.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, but faces integration challenges and requires enhancements to compete with top competitors.
Sentiment score
8.1
Oracle Integration Cloud Service is stable, with infrequent issues, and users rate its stability highly from seven to ten.
The solution has a high level of stability, roughly a nine out of ten.
The solution is stable.
 

Room For Improvement

Azure Data Factory needs improved integration, better scheduling, enhanced UI, simplified pricing, more connectors, and responsive support.
Oracle Integration Cloud Service requires enhanced error analysis, documentation, B2B integration, adapters, and JSON support, while addressing file handling limits.
There is a problem with the integration with third-party solutions, particularly with SAP.
When using Git services, there are challenges with linked services and triggers getting overridden when moving between different environments (Dev, UAT, Prod).
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
The mapping is a bit complex, so configuration is not very easy for a new user.
 

Setup Cost

Azure Data Factory pricing is usage-based and cost-effective, but large data volumes can lead to increased expenses.
Oracle Integration Cloud Service offers flexible, scalable pricing with competitive models and discounts, appealing for enterprise integration despite higher costs.
The pricing is cost-effective.
It is considered cost-effective.
 

Valuable Features

Azure Data Factory provides seamless data integration, robust transformations, scalability, and strong SAP support, praised for its ease of use.
Oracle Integration Cloud Service simplifies enterprise connectivity with intuitive tools, numerous adapters, and serverless setup for seamless integration.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
Additionally, it provides a wide variety of built-in adapters for many cloud providers, such as Azure Blob and AWS S3.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Oracle Integration Cloud Se...
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
37
Ranking in other categories
Integration Platform as a Service (iPaaS) (4th)
 

Mindshare comparison

Azure Data Factory and Oracle Integration Cloud Service aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 8.9%, down 12.5% compared to last year.
Oracle Integration Cloud Service, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 7.9% mindshare, down 10.3% since last year.
Data Integration
Integration Platform as a Service (iPaaS)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Divya Prakash - PeerSpot reviewer
An integration tool that is highly compatible and easy to maintain
Dealing with the large file sizes has occasionally been a challenge, though we have found workarounds. But dealing with large file sizes could be easy in integrations. I have also come across schema files where headers, footers, and bodies are there, but it's not a valid schema. None of the MSCAs are defined properly. In such cases, we have to think of multiple workarounds, such as splitting or merging. But this is a standard requirement for organizations, so custom solutions should be provided. There are cases when the systems don't expect additional MSCAs, or they expect headers, footers, or tags with different values. But this is not a proper XML. So if we are dealing with XML conversions, mapping, and integrations, we have to do some custom work. These are solutions that Oracle can provide.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
6%
Educational Organization
37%
Computer Software Company
9%
Financial Services Firm
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
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...
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...
What's the difference between Oracle Integration Cloud Service and Oracle Data Integrator (ODI)?
Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that c...
What do you like most about Oracle Integration Cloud Service?
Oracle Integration Cloud Service offers a lot of adaptors.
What is your experience regarding pricing and costs for Oracle Integration Cloud Service?
It is not really a high price for the value it gives. However, when you start doing the customization, it’s a bit expensive because I need to start provisioning other services before deployment. So...
 

Also Known As

No data available
Oracle ICS
 

Overview

 

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 Azure Data Factory vs. Oracle Integration Cloud Service and other solutions. Updated: May 2023.
851,604 professionals have used our research since 2012.