Azure Data Factory vs IBM Db2 Warehouse comparison

Why PeerSpot?

Microsoft and IBM are both solutions in the Cloud Data Warehouse category. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 81% of IBM users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

15,321 Views
2,758 Comparison Views

92% willing to recommend

IBM Db2 Warehouse

Read 12 IBM Db2 Warehouse reviews

2,449 Views
1,935 Comparison Views

81% willing to recommend

Azure Data Factory

IBM Db2 Warehouse

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and IBM Db2 Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Google, Databricks and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: September 2026).

Buyer's Guide

Cloud Data Warehouse

September 2026

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Helped 915,341 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

6.7

Number of Reviews

Ranking in other categories

Data Integration (6th), Cloud Data Warehouse (6th)

IBM Db2 Warehouse

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Data Warehouse (16th)

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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Sherpard Muzuva

Senior Technical Manager at SYSTEMS INTEGRATED LTD (SYMPHONY)

Advanced features enhance business intelligence, but complex management calls for improved user guidance

While my experience with IBM Db2 Warehouse is somewhat limited, when compared to other databases such as Oracle, there are areas for improvement. They need to enhance the database to make it more user-friendly and easier to master. They should implement a more comprehensive graphical user interface with additional features. For instance, when users encounter problems, the system should provide better guidelines and troubleshooting directions, except for hardware-related issues. They need to implement tools that would help users perform basic troubleshooting rather than solely relying on support. Other databases have features where users can investigate specific issues using error codes. From my experience, many minor issues could be resolved before escalating to support.

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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 support for SAP services and databases, specifically SAP HANA, has been a game-changer for us."

"It is easy to deploy workflows and schedule jobs."

"We have been using drivers to connect to various data sets and consume data."

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

"The solution is okay."

"The data copy template is a valuable feature, and with the pipeline template, it takes only a few clicks for the on-premises data to come in."

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

"The solution can scale very easily."

More Azure Data Factory pros

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"It can scale effectively as long as resources are available."

"The solution is stable."

"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

"If you have good people designing how the data is stored, it's a marvelous tool."

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

"The analytics engine is not bad at forecasting predictions."

"The most valuable features of IBM Db2 Warehouse include its availability, easy integration, ability to deal with a large size of data, excellent performance with no delays, powerful security mechanisms, and effective support."

More IBM Db2 Warehouse pros

Cons

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

"There is no built-in pipeline exit activity when encountering an error."

"It would be helpful if they could adjust the data capture feature so that when there are source-side changes ADF could automatically figure it out."

"It would be better if it had machine learning capabilities."

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

"Azure Data Factory can improve by having support in the drivers for change data capture."

"I did not see any positive impact from Azure Data Factory overall."

"Compared to Informatica, it's really crude. I think it's a very crude solution."

More Azure Data Factory cons

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

"On a scale of one to ten, I would rate the technical support as a five. It is fairly bad."

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

"Lacks sufficient documentation and particularly in Spanish."

"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

"IBM Db2 Warehouse needs to improve its interface."

"There should be more material available for training and training should be free."

More IBM Db2 Warehouse cons

Pricing and Cost Advice

"The solution is cheap."

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

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

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

"It's not particularly expensive."

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

More Azure Data Factory pricing and cost advice

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

23%

Construction Company

11%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	5

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 IBM Db2 Warehouse?

The pricing for medium and large environments is almost the same as Oracle. I rate the pricing as six out of ten.

See all answers

What needs improvement with IBM Db2 Warehouse?

See all answers

What is your primary use case for IBM Db2 Warehouse?

The main advantages of IBM Db2 Warehouse become apparent when dealing with business intelligence applications. I worked with it when it was installed for one of our customers, a utilities company, ...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

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

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Snowflake vs IBM Db2 Warehouse

Compared 11% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 9% of the time

BigQuery vs IBM Db2 Warehouse

Compared 8% of the time

Magnitude vs IBM Db2 Warehouse

Compared 8% of the time

Amazon Redshift vs IBM Db2 Warehouse

Compared 7% of the time

More IBM Db2 Warehouse Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

IBM Db2 Warehouse

September 2026

Download IBM Db2 Warehouse product report

Also Known As

No data available

InfoSphere Warehouse, IBM InfoSphere Warehouse

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

IBM Db2 Warehouse provides scalable and efficient data handling, offering rapid data processing, excellent integration capabilities, and strong security. Its compatibility with cloud environments and robust analytics make it ideal for enterprises requiring high-performance transaction processing.

IBM Db2 Warehouse is recognized for its big data scalability and fast response times. Its support for ETL processes and robust security measures ensures consistent data handling. Easy installation and a powerful analytics engine facilitate forecasting, making it practical for high-volume transactions. It supports Windows and Linux, offering a flexible yet resilient environment. However, improvements are needed in separating compute from storage, interface usability, and Spanish documentation. Users may experience delays in support response and challenges with publication and backup issues, highlighting the need for enhanced training resources and user-friendly troubleshooting tools. Though related to Oracle, IBM Db2 Warehouse may benefit from improved user guidance and online resources.

What are the standout features of IBM Db2 Warehouse?

Scalability: Effectively handles big data volumes.
Integration: Seamlessly works with multiple platforms, including IBM Cognos.
Analytics Engine: Robust tools support forecasting and advanced analytics.
Security: Offers strong security measures for data protection.
Cloud Compatibility: Deployable on IBM Cloud with ease.

What benefits and ROI should users consider?

Data Processing Speed: Fast response boosts efficiency.
Reliability: High volume transactions are managed efficiently.
Analytics Power: Enhances decision-making with data analytics capabilities.
Deployment Flexibility: Supports Windows and Linux systems.

IBM Db2 Warehouse is implemented across industries for data warehousing, reporting, and analytics, notably benefiting businesses focusing on utilities usage prediction and growth analysis. Its integration with IBM Cognos enhances report generation, while its support for star or snowflake schemas optimizes high-volume data management, providing a solid foundation for data-driven decision-making in business intelligence applications.

IBM

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

Alameda County Social Services Agency, Sui Southern Gas Company Limited

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