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, Oracle and others in Data Integration."The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"We have found the bulk load feature very valuable."
"The data copy template is a valuable feature."
"Data Factory's best features are simplicity and flexibility."
"The most important feature is that it can help you do the multi-threading concepts."
"We haven't had any issues connecting it to other products."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"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."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"The initial setup is not very straightforward."
"Data Factory's monitorability could be better."
"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's space for improvement in the development process of the data pipelines."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"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."
"One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while BMC Data Management for IMS and DB2 on zOS is ranked 21st in Database Development and Management with 2 reviews. Azure Data Factory is rated 8.0, while BMC Data Management for IMS and DB2 on zOS is rated 8.6. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of BMC Data Management for IMS and DB2 on zOS writes "Improves disaster recovery processes and offers an efficient CPU cycle optimization ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas BMC Data Management for IMS and DB2 on zOS is most compared with AWS Database Migration Service, Dataloader.io, Qlik Replicate and IBM App Connect.
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.