Azure Data Factory vs BMC Data Management for IMS and DB2 on zOS comparison

The compared Microsoft and BMC solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.0, and holds a 11.1% mindshare in the category. BMC is ranked #19 in DDM , with an average rating of 8.0, and holds a 0.6% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of BMC users who would recommend it.

Azure Data Factory

Read 86 Azure Data Factory reviews

23,087 Views
18,331 Comparison Views

92% willing to recommend

BMC Data Management for IMS...

Read 2 BMC Data Management for IMS and DB2 on zOS reviews

99 Views
96 Comparison Views

100% willing to recommend

Azure Data Factory

BMC Data Management for IMS...

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Executive Summary

We performed a comparison between Azure Data Factory and BMC Data Management for IMS and DB2 on zOS based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2024).

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Data Integration

October 2024

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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)

BMC Data Management for IMS...

Average Rating

8.6

Number of Reviews

Ranking in other categories

Database Development and Management (19th)

Mindshare comparison

Azure Data Factory and BMC Data Management for IMS and DB2 on zOS aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 11.1%, down 13.3% compared to last year.
BMC Data Management for IMS and DB2 on zOS, on the other hand, focuses on Database Development and Management, holds 0.6% mindshare, down 0.8% since last year.

Data Integration

Database Development and Management

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…

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RobertSamson

Technical Consultant at Services Robert Samson SCRS

Feb 29, 2024

Improves disaster recovery processes and offers an efficient CPU cycle optimization

Using BMC Data Management for IMS and DB2 on z/OS has greatly improved our database administration tasks. Although we don't test the database before production, we have experienced benefits in disaster recovery situations and capacity management. For instance, when facing capacity issues during…

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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

"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."

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."

"I am one hundred percent happy with the stability."

"I can do everything I want with SSIS and Azure Data Factory."

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

"The security of the agent that is installed on-premises is very good."

"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."

More Azure Data Factory pros

"BMC Data Management improved our data recovery process by simplifying it."

"I have worked with DB2's great features in the last five years. The IDAA feature transformed the vision of warehousing, business analytics, and big data at my bank. Besides the mainframe, I saw that this solution was evolutionary. It gives real-time information."

Cons

"The product integration with advanced coding options could cater to users needing more customization."

"When we initiated the cluster, it took some time to start the process."

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"The product's technical support has certain shortcomings, making it an area where improvements are required."

"It can improve from the perspective of active logging. It can provide active logging information."

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

"Azure Data Factory's pricing in terms of utilization could be improved."

More Azure Data Factory cons

"One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution."

"DB2 is a hard tool to grasp. It's hard for users to learn how to use it. It's not easy to see how it works."

Pricing and Cost Advice

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

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

"Product is priced at the market standard."

"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 is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

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

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

"The solution is cheap."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

25%

Insurance Company

16%

Government

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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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What do you like most about BMC Data Management for IMS and DB2 on zOS?

BMC Data Management improved our data recovery process by simplifying it.

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What needs improvement with BMC Data Management for IMS and DB2 on zOS?

One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution. As someone involved in managing infrastructure, understandi...

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What advice do you have for others considering BMC Data Management for IMS and DB2 on zOS?

From my perspective as an infrastructure guy, the most valuable aspect of BMC's data management solutions was their ability to optimize CPU cycles, improving IMS performance without directly impact...

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

Dataloader.io vs BMC Data Management for IMS and DB2 on zOS

Compared 100% of the time

More BMC Data Management for IMS and DB2 on zOS Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Buyer's Guide

Database Development and Management

October 2024

BMC Data Management for IMS and DB2 on zOS report

Download BMC Data Management for IMS and DB2 on zOS product report

Also Known As

No data available

BMC Data Management for IMS and DB2 on z/OS, Data Management for IMS and DB2 on z/OS

Learn More

Microsoft

BMC

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.

Transform the management of your DB2 databases to meet the scale and complexity of digital business

Run DB2 utilities with BMC Next Generation Technology to optimize your data and improve application performance
Eliminate downtime and increase availability of business services
Ensure the integrity of structured and unstructured data
Take control with intelligent automation and policy-driven rules
Bridge the gap from green-screen to modern, secure, self-service user interfaces
Move to DB2 12 and beyond with confidence

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

Airline Tariff Publishing Co (ATPCO), AtTask, MetaScale

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: October 2024.

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We monitor all Data Integration 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.