Azure Data Factory vs Infogix Data360 Analyze [EOL] comparison

"Powerful but easy-to-use and intuitive."

"The solution is okay."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."

"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."

"From my experience so far, the best feature is the ability to copy data to any environment."

"The overall architecture has been very valuable to us, as it has allowed us to scale up pretty rapidly."

"The most valuable aspect is the copy capability."

"This solution allows you to include your own functions that are coded in Python."

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

"Understanding the pricing model for Data Factory is quite complex. It needs to be simplified, and easier to understand."

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

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"Some prebuilt data source or data connection aspects are generic."

"The pricing model should be more transparent and available online."

"Azure Data Factory is a bit complicated compared to Informatica. There are a lot of connectors that are missing and there are a lot of instances where I need to create a server and install Integration Runtime."

"Lacks in-built streaming data processing."

"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."

"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."

"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."

"The solution is cheap."

"Understanding the pricing model for Data Factory is quite complex."

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

"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."

"Product is priced at the market standard."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

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

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