Azure Data Factory vs Oracle GoldenGate comparison

Microsoft and Oracle are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.1, while Oracle is ranked #8 with an average rating of 8.2. Microsoft holds a 11.0% mindshare in DI, compared to Oracle’s 4.2% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 96% of Oracle users who would recommend it.

Azure Data Factory

Read 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

Oracle GoldenGate

Read 49 Oracle GoldenGate reviews

7,354 Views
5,312 Comparison Views

96% willing to recommend

Azure Data Factory

Oracle GoldenGate

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

Oracle GoldenGate and Azure Data Factory compete in the data management and integration category. Azure Data Factory appears to have an upper hand based on its seamless integration with Azure services and user-friendly interface.

Features: Oracle GoldenGate offers robust data replication that handles large volumes with a lightweight footprint, supports real-time transformations between heterogeneous databases, and provides seamless data replication across platforms and environments. Azure Data Factory provides comprehensive ETL capabilities, ease of integration with a vast array of Azure services, and a user-friendly interface for efficient data transformation and orchestration.

Room for Improvement: Oracle GoldenGate needs enhancements in monitoring tools, integration with non-Oracle databases, and streamlining complex setups. Azure Data Factory requires better pricing transparency, improved connectors, and expanded capabilities for streaming and machine learning. Both products can benefit from more intuitive documentation.

Ease of Deployment and Customer Service: Oracle GoldenGate is optimized for on-premises and hybrid deployments but experiences inconsistent customer support. Azure Data Factory excels in public cloud deployments, offering comprehensive integration within Azure's ecosystem and generally positive customer support, though accessing support channels can be challenging.

Pricing and ROI: Oracle GoldenGate is costly, impacting ROI management, yet it delivers significant value in uptime and disaster recovery. Azure Data Factory's pay-as-you-go model provides flexibility and is seen as cost-effective when compared to similar services, though estimating costs can be complicated.

To learn more, read our detailed Azure Data Factory vs. Oracle GoldenGate Report (Updated: December 2024).

Buyer's Guide

Azure Data Factory vs. Oracle GoldenGate

December 2024

Download the complete report

Helped 824,053 peers since 2012

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Oracle GoldenGate

Ranking in Data Integration

8th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of Oracle GoldenGate is 4.2%, down from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

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.

Read full review

Vijay Manoharan

IT Technical Specialist at a healthcare company with 10,001+ employees

Performs real-time replication without data loss, but we cannot do much automation

The setup with the classic GoldenGate architecture was easy. Oracle has now moved to Microservices Architecture. It is a real pain. There are a lot of new things we have to learn. I rate the ease of setup of the classic architecture a seven out of ten. For Microservices, I rate the ease of setup a three out of ten. The deployment takes a couple of hours. We need one system administrator to deploy the tool. We need to maintain the tool. We are a team of four people. We need at least three people for maintenance. The time taken for maintenance depends on how big the environment is. We spend a lot of time on maintenance because our environment is big.

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

"I can do everything I want with SSIS and Azure Data Factory."

"It makes it easy to collect data from different sources."

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

"The best part of this product is the extraction, transformation, and load."

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."

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

"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."

More Azure Data Factory pros

"What I like most about Oracle GoldenGate is that it supports cross-platform migrations. For example, Oracle GoldenGate could pump data from one type of system to another such as the data from Oracle DB to SQL Db2."

"What I have found the most valuable about GoldenGate is that it does real-time and no-downtime migrations. Its migrations are fast. There are not many tools like it on the marketplace."

"It works best with Oracle."

"The solution's existing SaaS platform for data integration gives us an edge."

"It's very simple to configure, it's very simple to implement. In addition, the ability it has to capture data and transmit it with incredible speed is better than any of the product out there. It's extremely powerful."

"The solution is useful for data transformation."

"The most valuable features of Oracle GoldenGate are the schema application and performance."

"You can use Oracle GoldenGate as a DR for your system."

More Oracle GoldenGate pros

Cons

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"It can improve from the perspective of active logging. It can provide active logging information."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"There's space for improvement in the development process of the data pipelines."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

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

"The initial setup is not very straightforward."

More Azure Data Factory cons

"I would like to see the interface more graphical and easier to use."

"We struggle with memory. It's limited. However, it may be because of our unique business case and how we use it that it's limiting for us."

"The problem with GoldenGate is it is very complex to use. You need heavyweight skills to use it."

"Some issues regarding stability need to be resolved."

"It's stable but you have to know how to maintain it. That's why it's not 10 out of 10 for me. There are some bugs, there are some issues here and there. All of a sudden your process is not working and you have to figure out why, and sometimes it's not so clear."

"The tool's connections are disconnected at times. The tool needs to integrate other databases."

"It would be great if Oracle added some enhanced features or more functionalities to Oracle GoldenGate."

"GoldenGate is expensive. It's costly because this solution is unique in our market. The GoldenGate Cloud Service is cheaper than the on-premise solution."

More Oracle GoldenGate cons

Pricing and Cost Advice

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

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

"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."

"I don't see a cost; it appears to be included in general support."

"The cost is based on the amount of data sets that we are ingesting."

"I would not say that this product is overly expensive."

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

More Azure Data Factory pricing and cost advice

"We have purchased corporate licensing to use Oracle GoldenGate."

"Oracle GoldenGate's cost is high."

"The tool needs to improve its pricing."

"The licensing model should be improved to be more cost-effective for the end users."

"The one feature that I think Oracle could perhaps consider is, at the moment, the Veridata option is an extra cost. Golden Gate is an expensive product. You pay a lot for the best. But not including the Veridata license to prove that everything is working correctly... The big improvement for me would be to have that license built in. That would take it to the next level. That would make it a much better product. You may want to look at buying term licenses if you've just got a single migration to do. In that situation, you might want a term license for perhaps a year to save a lot of money, rather than buying a perpetual license."

"Its price can be better. It is a bit crazy, and its licensing is very difficult to understand. I would rate it one out of five in terms of pricing. There don't seem to be any additional costs."

"The solution would be costly for a small organization."

"The tool is a bit expensive."

More Oracle GoldenGate pricing and cost advice

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

824,053 professionals have used our research since 2012.

Comparison Review

it_user99375

Database Administrator at a tech services company with 51-200 employees

Mar 31, 2014

Oracle GoldenGate vs. Oracle Active Dataguard

As an Oracle DBA, while working upon high availability of your database you may stumble upon various Oracle strategic capabilities that fall into categories of Oracle Replication. Oracle provides various technologies for replication like GoldenGate, streams, and Active Dataguard. Replication…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

22%

Computer Software Company

12%

Manufacturing Company

Government

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.

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 do you like most about Oracle GoldenGate?

The product is reliable for data integrity.

See all answers

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

The product is expensive. Due to the high cost, we are considering alternative solutions.

See all answers

What needs improvement with Oracle GoldenGate?

The solution sometimes has issues with long transactions and replication delays. Its pricing needs improvement.

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

Denodo vs Azure Data Factory

Compared 2% of the time

More Azure Data Factory Competitors

AWS Database Migration Service vs Oracle GoldenGate

Compared 18% of the time

Qlik Replicate vs Oracle GoldenGate

Compared 13% of the time

Quest SharePlex vs Oracle GoldenGate

Compared 7% of the time

Fivetran vs Oracle GoldenGate

Compared 6% of the time

Oracle Integration Cloud Service vs Oracle GoldenGate

Compared 5% of the time

More Oracle GoldenGate Competitors

Product Reports

Buyer's Guide

Azure Data Factory

December 2024

Download Azure Data Factory product report

Buyer's Guide

Oracle GoldenGate

December 2024

Download Oracle GoldenGate product report

Also Known As

No data available

GoldenGate

Learn More

Microsoft

Oracle

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.

Oracle GoldenGate is a real-time data integration and database replication solution. It can detect data events and route them across networks at very low latencies and integrates well with 100s of combinations of non-Oracle databases, data stores, and clouds.

Oracle GoldenGate Features

Oracle GoldenGate has many valuable key features, including:

Simple to use web interface
Fast and easy installation or provisioning
Command line access via AdminClient that can run anywhere
RESTful APIs for DevOps
Offers built-in monitoring but also can be easily adapted to roll your own monitoring
APIs are protected by Cross Site Request Forgery (CSRF) authentication.

Oracle GoldenGate Benefits

Some of the benefits of using Oracle GoldenGate include:

Oracle GoldenGate is deeply integrated with the Oracle Database (logging, redo, backup and recovery layer, security, administration, data guard, data vault, autonomous database etc.).
It is the most stable, performant, and reliable CDC / replication solution for Oracle.
High performance: Oracle GoldenGate is capable of sub-second latency for data movement. featuring low impact capture, routing, transformation, and delivery of transactional data.
GoldenGate is the only CDC / replication tool that keeps pace with new and emerging innovations (security, features, data types, etc) in the core Oracle Database.
The solution supports a wide range of use cases, from conventional OLTP data replication and high availability to data lake ingestion or multi-cloud ingestion, SaaS application replication, and messaging replication.
GoldenGate is the only CDC / replication technology certified for Exadata, Exadata Cloud Service, and Exadata Cloud at Customer.
For fault-tolerance, GoldenGate has its own mechanism to keep track of how much work is completed and how much is pending. This mechanism is independent of any database and ensures, with the help of automatic gap-resolution, that no data loss occurs.
GoldenGate uses its own proprietary format files for keeping the committed data coming from the source database, making it independently functional irrespective of the database in use.
To maintain the performance and consistency, only committed data is sent. Uncommitted data is captured by GoldenGate, but is discarded after receiving a Rollback.
With GoldenGate, data sending is in “near real time,” which reduces the possibility of latency.

Reviews from Real Users

Below are some reviews and helpful feedback written by Oracle GoldenGate users.

PeerSpot user Steve-J., Cloud Migration Software Consultant - UK & EMEA at 1PLACE, says, "What I have found the most valuable about GoldenGate is that it does real-time and no-downtime migrations. Its migrations are fast. There are not many tools like it on the marketplace."

Pinak S., Senior Manager of System and Database at ESL, mentions, “We like how in GoldenGate the heterogeneous database is supported. Sometimes the client actually needs a schedule and needs to ensure the state of databases for reporting purposes. With that in mind, we have been able to configure GoldenGate for certain schema. The solution is quite stable. They've recently improved the ease of implementation.”

A Database Administrator at a manufacturing company explains, "It moves the data as you set it up, and it works. I am also very impressed with its stability and scalability. It is not super feature-rich, but the new releases have more functionality. It recently had more native integrations with Oracle Database. If you are using it against an Oracle database, it has a lot more functionality."

An Oracle ERP DBA Consultant - Oracle Super Cluster T5-8 Admin at a government comments, "GoldenGate can connect and collect data from multiple sources, such as SQL Server."

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

Japan Exchange Group, Daewoo E&C, Herbalife, Starwood Hotels & Resorts, Canon, Turk Telekom

Buyer's Guide

Azure Data Factory vs. Oracle GoldenGate

December 2024

Free Report: Azure Data Factory vs. Oracle GoldenGate

Find out what your peers are saying about Azure Data Factory vs. Oracle GoldenGate and other solutions. Updated: December 2024.

DOWNLOAD NOW

824,053 professionals have used our research since 2012.

See our Azure Data Factory vs. Oracle GoldenGate report.

See our list of best Data Integration vendors.

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.