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Azure Data Factory vs BMC Data Management for IMS and DB2 on zOS 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
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
BMC Data Management for IMS...
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
2
Ranking in other categories
Database Development and Management (21st)
 

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 10.1%, down 12.9% 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 0.6% since last year.
Data Integration
Database Development and Management
 

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.
RS
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 peak transaction times, I've been able to quickly allocate additional resources to ensure smooth operations. This has been crucial, especially during times when the demand surges, such as peak flight hours.

Quotes from Members

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

Pros

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."
"Azure Data Factory is a low code, no code platform, which is helpful."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"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 Factory's most valuable feature is Copy Activity."
"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

"In the next release, it's important that some sort of scheduler for running tasks is added."
"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."
"The setup and configuration process could be simplified."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"The speed and performance need to be improved."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"We have experienced some issues with the integration. This is an area that needs improvement."
"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

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"The cost is based on the amount of data sets that we are ingesting."
"Data Factory is expensive."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"The licensing cost is included in the Synapse."
"The price is fair."
"The pricing model is based on usage and is not cheap."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
29%
Insurance Company
15%
Manufacturing Company
10%
Logistics Company
7%
 

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.
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 BMC Data Management for IMS and DB2 on zOS?
BMC Data Management improved our data recovery process by simplifying it.
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...
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...
 

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
 

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
Airline Tariff Publishing Co (ATPCO), AtTask, MetaScale
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