Azure Data Factory vs Oracle GoldenGate Cloud Service comparison

The compared Microsoft and Oracle solutions aren't in the same category. Microsoft is ranked #3 in DI , with an average rating of 8.2, and holds a 2.8% mindshare in the category. Oracle is ranked #20 in CDI , with an average rating of 7.0, and holds a 1.5% 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

10,752 Views
7,526 Comparison Views

92% willing to recommend

Oracle GoldenGate Cloud Ser...

Read 8 Oracle GoldenGate Cloud Service reviews

977 Views
498 Comparison Views

100% willing to recommend

Azure Data Factory

Oracle GoldenGate Cloud Ser...

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Azure Data Factory and Oracle GoldenGate Cloud Service based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: March 2026).

Buyer's Guide

Data Integration

March 2026

Download the complete report

Helped 885,837 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 (3rd), Cloud Data Warehouse (2nd)

Oracle GoldenGate Cloud Ser...

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Cloud Data Integration (20th)

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 2.8%, down 9.7% compared to last year.
Oracle GoldenGate Cloud Service, on the other hand, focuses on Cloud Data Integration, holds 1.5% mindshare, up 1.0% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.8%
SSIS	3.6%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	90.0%

Data Integration

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Oracle GoldenGate Cloud Service	1.5%
AWS Glue	8.8%
AWS Database Migration Service	7.4%
Other	82.3%

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.

Read full review

Tarek Diab

Advisor Business Analysis & Data Management at Saudi Telecom Company

Real-time integration and seamless data synchronization enhance user experience

The stability of Oracle GoldenGate Cloud Service is one of its most useful features, although its performance is not too steady. It excels with bidirectional data synchronization. It supports diverse databases and platforms. We link the ODS with numerous source systems, including Oracle, Tarek Data, and Microsoft, with no integration issues. The solution caters to enterprise needs, fitting any organizational requirement, apart from data security issues common to cloud solutions. The cloud data security challenge is notable, necessitating solutions such as private cloud offerings to allay security concerns.

Read full review

Quotes from Members

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

Pros

"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 data pipeline and the orchestration functionality are the most valuable aspects of the solution, and the interface is very good, as it seeks to be very responsive and intuitive."

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"Its integrability with the rest of the activities on Azure is most valuable."

"When it comes to our business requirements, this solution has worked well for us."

"The user interface is very good; it makes me feel very comfortable when I am using the tool."

"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."

"The initial setup is very quick and easy."

More Azure Data Factory pros

"This has significantly eased the process of migration from on-premise to cloud. Instead of configuring everything from the ground up, the Oracle GoldenGate Cloud Service has made it seamless to build and render databases in cloud."

"It provides a good response for external microservices applications."

"Oracle GoldenGate Cloud Service is valued for its ability to replicate data in real-time, offering significant benefits from a data perspective."

"This has significantly eased the process of migration from on-premise to cloud, as instead of configuring everything from the ground up, the Oracle GoldenGate Cloud Service has made it seamless to build and render databases in cloud."

"We are heavily involved with GitHub for managing repositories, automatic deployments, and inner source projects."

"The stability of Oracle GoldenGate Cloud Service is one of its most useful features, although its performance is not too steady; it excels with bidirectional data synchronization and supports diverse databases and platforms."

"Scalability-wise, I rate the solution a ten out of ten."

"GoldenGate's best features are the desktop security features."

More Oracle GoldenGate Cloud Service pros

Cons

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"The pricing scheme is very complex and difficult to understand."

"Real-time replication is required, and this is not a simple task."

"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."

"Areas for improvement would be the product's performance and its mapping of data flow."

"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."

"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."

More Azure Data Factory cons

"I am not very happy with Oracle Support. Over the past four to five years, I have experienced many problems when opening support requests."

"More technical documentation is needed, especially in terms of mapping and conversion of data, while integration would also be very helpful."

"The initial setup was a little complex, and we required support from Oracle to complete it."

"Oracle is always adding new features. I can't think of anything that's urgent currently."

"The initial setup was a little complex, and we required support from Oracle to complete it."

"More technical documentation is needed, especially in terms of mapping and conversion of data, while integration would also be very helpful."

"With Oracle GoldenGate Cloud Service, we have usual cloud solution issues such as privacy and data security."

"Support could be improved. They lack knowledge."

More Oracle GoldenGate Cloud Service cons

Pricing and Cost Advice

"The pricing is a bit on the higher end."

"The price is fair."

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

"The solution's pricing is competitive."

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

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"The pricing model is based on usage and is not cheap."

"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."

More Azure Data Factory pricing and cost advice

"I rate the product price a six on a scale of one to ten, where one is cheap, and ten is expensive."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

885,837 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

10%

Manufacturing Company

Government

Construction Company

12%

Manufacturing Company

10%

Financial Services Firm

Performing Arts

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
Midsize Enterprise	1
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...

See all answers

What is your experience regarding pricing and costs for Oracle GoldenGate Cloud Service?

I do not have an idea about the solution's cost, but given the ongoing use, it appears to be good for them.

See all answers

What needs improvement with Oracle GoldenGate Cloud Service?

With Oracle GoldenGate Cloud Service, we have usual cloud solution issues such as privacy and data security. These issues especially concern clients needing a private cloud solution to meet regulat...

See all answers

What is your primary use case for Oracle GoldenGate Cloud Service?

We are using Oracle GoldenGate Cloud Service for real-time data integration, as our audience is real-time. Oracle GoldenGate Cloud Service is used for ODS operating data store in SSD. For the ODS, ...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) 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

Informatica PowerCenter vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

AWS Database Migration Service vs Oracle GoldenGate Cloud Service

Compared 16% of the time

SEEBURGER Business Integration Suite vs Oracle GoldenGate Cloud Service

Compared 10% of the time

Oracle Data Integrator Cloud Service vs Oracle GoldenGate Cloud Service

Compared 9% of the time

Fivetran vs Oracle GoldenGate Cloud Service

Compared 8% of the time

Boomi iPaaS vs Oracle GoldenGate Cloud Service

Compared 4% of the time

More Oracle GoldenGate Cloud Service Competitors

Product Reports

Buyer's Guide

Azure Data Factory

April 2026

Download Azure Data Factory product report

Buyer's Guide

Cloud Data Integration

March 2026

Download Oracle GoldenGate 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

GoldenGate Cloud Service is a cloud based real-time data integration and replication service, which provides seamless data movement from various on-premises relational databases to databases in the cloud while maintaining data consistency and offering fault tolerance and resiliency.

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

FORTH, Capital One

Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration. Updated: March 2026.

DOWNLOAD NOW

885,837 professionals have used our research since 2012.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.