Azure Data Factory vs IBM Db2 Warehouse comparison

"The trigger scheduling options are decently robust."

"The data copy template is a valuable feature."

"The solution is okay."

"The flexibility that Azure Data Factory offers is great."

"The most valuable aspect is the copy capability."

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

"The solution has a good interface and the integration with GitHub is very useful."

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

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"The solution is stable."

"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."

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

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"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."

"Provides good security and reliability."

"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."

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

"There aren't many third-party extensions or plugins available in the solution."

"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."

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

"The product could provide more ways to import and export data."

"The setup and configuration process could be simplified."

"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."

"In the next release, it's important that some sort of scheduler for running tasks is added."

"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."

"There should be more material available for training and training should be free."

"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."

"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."

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

"IBM Db2 Warehouse needs to improve its interface."

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

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

"The cost is based on the amount of data sets that we are ingesting."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"ADF is cheaper compared to AWS."

"The pricing model is based on usage and is not cheap."

"Pricing appears to be reasonable in my opinion."

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."