Azure Data Factory vs Oracle Big Data Appliance comparison

Microsoft and Oracle are both solutions in the Cloud Data Warehouse category. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 71% of Oracle users who would recommend it.

Azure Data Factory

Read 90 Azure Data Factory reviews

4,155 Views
3,276 Comparison Views

92% willing to recommend

Oracle Big Data Appliance

Read 5 Oracle Big Data Appliance reviews

381 Views
251 Comparison Views

71% willing to recommend

Azure Data Factory

Oracle Big Data Appliance

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. Oracle Big Data Appliance Report (Updated: April 2025).

Buyer's Guide

Azure Data Factory vs. Oracle Big Data Appliance

April 2025

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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

6.9

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

Oracle Big Data Appliance

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Data Warehouse (19th)

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

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.

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Mohammed Hamad

AI & Data Engineering Lead at a tech services company with 10,001+ employees

Provides clean, centralized data

From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

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Quotes from Members

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

Pros

"The most valuable feature is the copy activity."

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

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"The initial setup is very quick and easy."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"Azure Data Factory became more user-friendly when data-flows were introduced."

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

"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."

More Azure Data Factory pros

"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."

"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

"This is a comprehensive solution that is easy to deploy."

Cons

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

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

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

"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."

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

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

More Azure Data Factory cons

"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."

"The product should be simplified for the average user."

Pricing and Cost Advice

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

"Pricing is comparable, it's somewhere in the middle."

"The licensing cost is included in the Synapse."

"The price you pay is determined by how much you use it."

"Pricing appears to be reasonable in my opinion."

"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."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

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

More Azure Data Factory pricing and cost advice

"Oracle's prices are too high compared to others in the market."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

32%

Computer Software Company

15%

Government

11%

University

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...

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Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 11% of the time

Snowflake vs Azure Data Factory

Compared 9% of the time

Alteryx Designer vs Azure Data Factory

Compared 6% of the time

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

Compared 6% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Oracle Exadata vs Oracle Big Data Appliance

Compared 75% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 25% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

Azure Data Factory

April 2025

Download Azure Data Factory product report

Buyer's Guide

Data Warehouse

April 2025

Download Oracle Big Data Appliance 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

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

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

Caixa Bank

Buyer's Guide

Azure Data Factory vs. Oracle Big Data Appliance

April 2025

Free Report: Azure Data Factory vs. Oracle Big Data Appliance

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