We performed a comparison between Alteryx Designer and Azure Data Factory based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Alteryx Designer ultimately wins out in this comparison. According to its reviewers, it is a very powerful solution. Azure Data Factory does come out on top in the pricing category, however.
"Alteryx Designer is a tool that is pretty much easy to install."
"I like Alteryx Designer's drag-and-drop feature, where you drag a component, configure it and quickly run it."
"The solution is user-friendly."
"When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis."
"The most valuable feature of Alteryx Designer is its ability to select all the inputs and formulas."
"The product is intuitive and easy to use."
"Alteryx Designer is easier to use for machine learning models. However, I am not very good at Python scripts which you will need to make the machine learning scripts."
"Workflow automation, in general, is valuable."
"It is beneficial that the solution is written with Spark as the back end."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"It is easy to integrate."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"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."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"Alteryx Designer's cost should be improved."
"Based on my experience, the tool could be improved by providing sample reports or pre-configured workflows tailored to specific industries, like finance. It needs to integrate an AI chatbot as well."
"The major concern in Alteryx Designer stems from the high costs attached to the product."
"When configuring the Logix, the UA could be improved."
"I would like to be able to include small snippets of code inside of the solution. The tool has only drag-and-drop features to make it easy to use, but sometimes I feel like this makes it more complicated."
"The price of the product is an area with certain shortcomings where improvements are required."
"We need more documentation."
"Alteryx's data science and machine learning capabilities are where it loses out to DataIQ."
"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."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The one element of the solution that we have used and could be improved is the user interface."
"I have not found any real shortcomings within the product."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"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."
"The Microsoft documentation is too complicated."
"There's space for improvement in the development process of the data pipelines."
Alteryx Designer is ranked 9th in Data Integration with 27 reviews while Azure Data Factory is ranked 1st in Data Integration with 81 reviews. Alteryx Designer is rated 8.0, while Azure Data Factory is rated 8.0. The top reviewer of Alteryx Designer writes "An easy-to-use automation solution with satisfying customer support". On the other hand, the top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". Alteryx Designer is most compared with FME, Informatica PowerCenter, SSIS, Palantir Foundry and SAP Data Services, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Snowflake, Microsoft Azure Synapse Analytics and IBM InfoSphere DataStage. See our Alteryx Designer vs. Azure Data Factory report.
See our list of best Data Integration vendors.
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.
