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Azure Data Factory vs Oracle Integration Cloud Service comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.9
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 11.0%, 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 11.3% 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.

Quotes from Members

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

Pros

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The data copy template is a valuable feature."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"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."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."
"The most valuable feature of this solution would be ease of use."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The most valuable feature of Oracle Integration Cloud Service is its ease of use. We do not depend on any tool to develop it. Everything is on the browser and is easy to integrate, even for someone who does not understand a lot about coding."
"In general, there were a lot of great utilities for working with files."
"The most valuable feature is the ease of customization."
"The solution is scalable."
"The dashboard provided by Oracle Integration Cloud for monitoring and error handling is very intuitive."
"Provides various ways to secure services as well as providing extensive support."
"Oracle Integration Cloud Service integrates well and is user-friendly. If you are not a developer or ops engineer you can still use the solution with ease. You do not need to have developers' knowledge, you can easily adapt and learn quickly to integrate the services. They have good documentation."
"In our customers' organizations, Oracle Integration Cloud Service mainly integrates their other applications with the Oracle Fusion stack. It's very handy in scenarios where they want to seamlessly maintain data flow between applications, with business tools and logic validations in place."
 

Cons

"The product could provide more ways to import and export data."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"The one element of the solution that we have used and could be improved is the user interface."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"The pricing scheme is very complex and difficult to understand."
"In terms of the area of improvement in the product, I would say that the way we design the services is very limited."
"The solution should improve its support."
"In designer mode, sometimes the browser closure or other unknown issues can cause strange behavior, which requires a restart."
"The solution is expensive."
"I have faced situations where the solution has gone down for five to seven minutes, which is an issue if it happens in the live production environment."
"They need to make tools framework available for implementation partners"
"Oracle Integration Cloud Service can improve file handling. Currently, our real-time file polling limitation is 10 MB, if that size can be increased it would be helpful. For example, increasing the size from 10 MB to 1 GB."
"Oracle needs to ensure that some of the most commonly used types of consumption or services are bundled—for every industry."
 

Pricing and Cost Advice

"Pricing appears to be reasonable in my opinion."
"I would not say that this product is overly expensive."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"ADF is cheaper compared to AWS."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"The price you pay is determined by how much you use it."
"The price is fair."
"Product is priced at the market standard."
"In the case of Oracle Integration Cloud, costs can be "predictable" as far as the platform and infrastructure are concerned."
"The price of Oracle Integration Cloud Service is good. It is reasonable and is priced well for the market segment. The model they use is on a per-package unit and we have a two-year subscription."
"The price is cheaper than all other cloud integration providers."
"The price of Oracle Integration Cloud Service is reasonable to start with, but when you scale it becomes expensive."
"Oracle uses a universal credit model for OCI. Clients commit to an annual budget and can choose which products to use and build during their contract period. Billing is based on consumption - you're only billed for the products you use."
"The solution is cost-effective."
"The price is fair."
"Pricing is not on the economic side since it is a tool for enterprise-sized companies."
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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
43%
Computer Software Company
8%
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
Calix, Avaya, Land Lakes, Leader, PWC, Vale
Find out what your peers are saying about Azure Data Factory vs. Oracle Integration Cloud Service and other solutions. Updated: May 2023.
824,053 professionals have used our research since 2012.