Azure Data Factory vs Infogix Data360 Analyze [EOL] comparison

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

"The most valuable feature is the copy activity."

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

"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS"

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

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

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

"I like that it's a monolithic data platform. This is why we propose these solutions."

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

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

"The one element of the solution that we have used and could be improved is the user interface."

"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 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."

"Data Factory's performance during heavy data processing isn't great."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"There is no built-in pipeline exit activity when encountering an error."

"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."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"The licensing cost is included in the Synapse."

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

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"Product is priced at the market standard."

"The solution's pricing is competitive."

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

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