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.
"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."
"Alteryx Designer is stable."
"The solution is user-friendly."
"The product is very stable. The performance is reliable."
"Alteryx Designer's user interface is great, as it is very user-friendly."
"It has an easy setup process."
"The product is intuitive and easy to use."
"Workflow automation, in general, is valuable."
"The security of the agent that is installed on-premises is very good."
"Allows more data between on-premises and cloud solutions"
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"Powerful but easy-to-use and intuitive."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The most valuable features are data transformations."
"I am one hundred percent happy with the stability."
"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."
"When configuring the Logix, the UA could be improved."
"Alteryx Designer overall should be easier to use."
"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."
"Alteryx Designer's pricing and support could be improved."
"Alteryx could move faster to create a cloud equivalent of the desktop version of Designer."
"The conditional join feature should be improved."
"The actual usage part of it needs to be explained more. It's too vague right now."
"We need more documentation."
"We require Azure Data Factory to be able to connect to Google Analytics."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"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."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"The initial setup is not very straightforward."
Alteryx Designer is ranked 9th in Data Integration with 28 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, SSIS, Informatica PowerCenter, SAP Data Services and Palantir Foundry, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Snowflake, IBM InfoSphere DataStage and Palantir Foundry. 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.
