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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:
 

Customer Service

No sentiment score available
Sentiment score
5.5
Oracle Integration Cloud Service's support has mixed reviews, noting delays, inconsistencies, and expertise issues, but high-priority issues get fast assistance.
 

Room For Improvement

No sentiment score available
Sentiment score
6.0
Oracle Integration Cloud Service needs better AI integration, enhanced tools, reduced costs, improved support, comprehensive documentation, and flexible pricing.
 

Scalability Issues

No sentiment score available
Sentiment score
7.8
Oracle Integration Cloud Service scales well and is versatile, but has data size limitations and occasional performance issues.
 

Setup Cost

No sentiment score available
No sentiment score available
Oracle Integration Cloud Service offers predictable pricing with various models and discounts, but costs can increase with extensive customization.
 

Stability Issues

No sentiment score available
Sentiment score
8.1
Oracle Integration Cloud Service is stable and reliable, with occasional downtime and performance issues, rated 7-10 out of 10.
 

Valuable Features

No sentiment score available
Sentiment score
8.2
Oracle Integration Cloud Service offers scalable, user-friendly integration with robust error handling, pre-built APIs, and low-code capabilities for ease of use.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
86
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
36
Ranking in other categories
Integration Platform as a Service (iPaaS) (3rd)
 

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 11.1%, down 13.3% compared to last year.
Oracle Integration Cloud Service, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 9.6% mindshare, down 11.2% since last year.
Data Integration
Integration Platform as a Service (iPaaS)
 

Featured Reviews

Thulani David Mngadi - PeerSpot reviewer
Data flow feature is valuable for data transformation tasks
The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.
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
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Educational Organization
41%
Computer Software Company
9%
Financial Services Firm
7%
Manufacturing Company
5%
 

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
 

Learn More

 

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.
816,406 professionals have used our research since 2012.