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.
"The features I found most valuable are the preparation features – the Join and the Transform."
"Alteryx Designer is stable."
"The solution is user-friendly."
"The product is very stable. The performance is reliable."
"I like Alteryx Designer's drag-and-drop feature, where you drag a component, configure it and quickly run it."
"The most valuable feature of Alteryx Designer is its ability to select all the inputs and formulas."
"Alteryx is quite easy to use, learn, and understand as a product."
"The functionality of drag and drop is the most valuable. It is a very user-friendly tool that can be understood easily. My teams also work with other solutions, such as Integration Services, and these solutions are very difficult for people who don't have technical knowledge."
"The scalability of the product is impressive."
"The flexibility that Azure Data Factory offers is great."
"Its integrability with the rest of the activities on Azure is most valuable."
"An excellent tool for pipeline orchestration."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"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."
"The function of the solution is great."
"When configuring the Logix, the UA could be improved."
"Alteryx Designer overall should be easier to use."
"Alteryx needs to improve its web governance. The gallery you use to filter the data is something else that could use some work. For instance, if you have a report connected to a database and want to filter a specific user, you should be able to suggest a specific region or a particular year. I know that the Alteryx isn't designed for data governance, but that would be great to think about."
"If the price were reduced then it would be more competitive."
"When it comes to the pivoting part, the drill-through option is not there in Alteryx."
"The major concern in Alteryx Designer stems from the high costs attached to the product."
"The actual usage part of it needs to be explained more. It's too vague right now."
"It would be simpler if they provided a component where you could simply enter some parameters and see the results."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"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."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
Alteryx Designer is ranked 9th in Data Integration with 24 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.
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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.
