Azure Data Factory vs Infogix Data360 Analyze [EOL] comparison

"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."

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

"It makes it easy to collect data from different sources."

"We use the solution to move data from on-premises to the cloud."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."

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

"The drag-and-drop functionality makes it easy for business users."

"Some of the optimization techniques are not scalable."

"The initial setup is not very straightforward."

"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."

"Some known bugs and issues with Azure Data Factory could be rectified."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"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."

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

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

"The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."

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

"Data Factory is affordable."

"Data Factory is expensive."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

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

"The licensing cost is included in the Synapse."

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

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

"The open-source version is free to use, although it has a limitation of two-million records."