Azure Data Factory vs IBM Db2 Warehouse comparison

Microsoft and IBM are both solutions in the Cloud Data Warehouse category. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 77% of IBM users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

5,937 Views
4,775 Comparison Views

91% willing to recommend

IBM Db2 Warehouse

Read 10 IBM Db2 Warehouse reviews

1,129 Views
452 Comparison Views

77% 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: October 2024).

Buyer's Guide

Azure Data Factory vs. IBM Db2 Warehouse

October 2024

Download the complete report

Helped 814,763 peers since 2012

Categories and Ranking

Azure Data Factory

Average Rating

8.0

Number of Reviews

Ranking in other categories

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

IBM Db2 Warehouse

Average Rating

7.8

Number of Reviews

Ranking in other categories

Data Warehouse (11th)

Featured Reviews

Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

Read full review

Josef Kraus

Owner at S.K. Consulting Services GmbH

Mar 27, 2024

Useful for ETL process and has good documentation

The tool's most beneficial feature for our data management tasks has been the ETL process. Additionally, we utilized Windows and Linux. IBM Db2 Warehouse's scalability has significantly impacted our data storage capabilities. We needed to order new disks for storage every week within this hosting…

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

"It is beneficial that the solution is written with Spark as the back end."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"We haven't had any issues connecting it to other products."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

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

"The most valuable feature of this solution would be ease of use."

"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."

"It's extremely consistent."

More Azure Data Factory pros

"Provides good security and reliability."

"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."

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

"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

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

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

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

"The solution is stable."

Cons

"The pricing model should be more transparent and available online."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"We have experienced some issues with the integration. This is an area that needs improvement."

"The Microsoft documentation is too complicated."

"The setup and configuration process could be simplified."

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

More Azure Data Factory cons

"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."

"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."

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

"IBM Db2 Warehouse needs to improve its interface."

"Lacks sufficient documentation and particularly in Spanish."

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

"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."

More IBM Db2 Warehouse cons

Pricing and Cost Advice

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

"Data Factory is expensive."

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

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

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

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

"This is a cost-effective solution."

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

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

814,763 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Educational Organization

58%

Financial Services Firm

Computer Software Company

Insurance Company

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?

Db2 Warehouse or IBM products are pretty expensive. There are cheaper tools on the market. However, if the client is satisfied with paying for the Db2 Warehouse license, especially for cloud-based ...

See all answers

What needs improvement with IBM Db2 Warehouse?

Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues. The technical support quality is good, but the response time needs improvement.

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% 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

IBM InfoSphere DataStage vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Oracle Exadata vs IBM Db2 Warehouse

Compared 33% of the time

Snowflake vs IBM Db2 Warehouse

Compared 30% of the time

Teradata vs IBM Db2 Warehouse

Compared 15% of the time

Amazon Redshift vs IBM Db2 Warehouse

Compared 12% of the time

IBM Db2 Warehouse on Cloud vs IBM Db2 Warehouse

Compared 11% of the time

More IBM Db2 Warehouse Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Buyer's Guide

IBM Db2 Warehouse

October 2024

Download IBM Db2 Warehouse product report

Also Known As

No data available

InfoSphere Warehouse, IBM InfoSphere Warehouse

Learn More

Microsoft

Video not available

IBM

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.

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.

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

October 2024

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: October 2024.

DOWNLOAD NOW

814,763 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.