Azure Data Factory vs IBM Db2 Warehouse comparison

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 80% of IBM 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

IBM Db2 Warehouse

Read 11 IBM Db2 Warehouse reviews

1,000 Views
368 Comparison Views

80% willing to recommend

Azure Data Factory

IBM Db2 Warehouse

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Azure Data Factory and IBM Db2 Warehouse 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. IBM Db2 Warehouse Report (Updated: April 2025).

Buyer's Guide

Azure Data Factory vs. IBM Db2 Warehouse

April 2025

Download the complete report

Helped 850,028 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

6.9

Number of Reviews

Ranking in other categories

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

IBM Db2 Warehouse

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Warehouse (12th)

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.

Read full review

Ismail Aboulezz

Chief Executive Officer at LeaseWeb

Enhancements in data analysis and decision-making elevate overall performance

The most valuable features of IBM Db2 Warehouse ( /products/ibm-db2-warehouse-reviews ) 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. The response time is very quick, and the technical manuals and support from IBM are of high quality. Additionally, it is easy to install, troubleshoot, operate, and secure the environment.

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

"Powerful but easy-to-use and intuitive."

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

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"Allows more data between on-premises and cloud solutions"

"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."

More Azure Data Factory pros

"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."

"Provides good security and reliability."

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

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

"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."

"The solution is stable."

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

More IBM Db2 Warehouse pros

Cons

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"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."

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

"The initial setup is not very straightforward."

"Data Factory's cost is too high."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

More Azure Data Factory cons

"IBM Db2 Warehouse needs to improve its interface."

"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

"Lacks sufficient documentation and particularly in Spanish."

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

"It takes a long time to have a new version or release, similar to Oracle."

"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."

"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."

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

More IBM Db2 Warehouse cons

Pricing and Cost Advice

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

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

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"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."

"Product is priced at the market standard."

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

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

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."

See which vendors are best for you

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

See recommendations

850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Educational Organization

56%

Financial Services Firm

12%

Computer Software 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 IBM Db2 Warehouse?

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

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?

There is room for improvement in optimizing certain processes, but most issues arise from my data, hardware architecture, and resources, not from IBM Db2 Warehouse itself.

See all answers

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

Snowflake vs IBM Db2 Warehouse

Compared 42% of the time

Teradata vs IBM Db2 Warehouse

Compared 34% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 24% of the time

More IBM Db2 Warehouse Competitors

Product Reports

Buyer's Guide

Azure Data Factory

April 2025

Download Azure Data Factory product report

Buyer's Guide

IBM Db2 Warehouse

April 2025

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

InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

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

Buyer's Guide

Azure Data Factory vs. IBM Db2 Warehouse

April 2025

Free Report: Azure Data Factory vs. IBM Db2 Warehouse

Find out what your peers are saying about Azure Data Factory vs. IBM Db2 Warehouse and other solutions. Updated: April 2025.

DOWNLOAD NOW

850,028 professionals have used our research since 2012.

See our Azure Data Factory vs. IBM Db2 Warehouse report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud Data Warehouse 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.