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Azure Data Factory vs IBM Db2 Warehouse comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
IBM Db2 Warehouse
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
12
Ranking in other categories
Data Warehouse (11th)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
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.
Ismail Aboulezz - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The best part of this product is the extraction, transformation, and load."
"The most valuable feature is the copy activity."
"Azure Data Factory is a low code, no code platform, which is helpful."
"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."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"From what we have seen so far, the solution seems very stable."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"The most valuable features are data transformations."
"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."
"Provides good security and reliability."
"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."
"Some of the best features are stored procedures, parallelism, and different indexing strategies."
"The analytics engine is not bad at forecasting predictions."
"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."
"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."
 

Cons

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"There's space for improvement in the development process of the data pipelines."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"Data Factory's cost is too high."
"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."
"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."
"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 primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."
"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."
"IBM Db2 Warehouse needs to improve its interface."
"In terms of improvement, IBM Db2 Warehouse should be more scalable."
"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."
 

Pricing and Cost Advice

"Data Factory is expensive."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"I would not say that this product is overly expensive."
"Product is priced at the market standard."
"Data Factory is affordable."
"ADF is cheaper compared to AWS."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"The pricing is a bit on the higher end."
"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
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Educational Organization
38%
Financial Services Firm
18%
Computer Software Company
6%
Government
6%
 

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.
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...
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...
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.
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.
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.
 

Also Known As

No data available
InfoSphere Warehouse, IBM InfoSphere Warehouse
 

Overview

 

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
Find out what your peers are saying about Azure Data Factory vs. IBM Db2 Warehouse and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.