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.
"Workflow automation, in general, is valuable."
"It has an easy setup process."
"The solution is easy to integrate and user-friendly."
"The most valuable feature of Alteryx Designer is its ability to select all the inputs and formulas."
"Alteryx Designer is stable."
"The solution is user-friendly."
"The product is intuitive and easy to use."
"I have been using Alteryx Designer only for data modeling and data structuring."
"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."
"Allows more data between on-premises and cloud solutions"
"The function of the solution is great."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"It is easy to integrate."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"We haven't had any issues connecting it to other products."
"Alteryx Designer's pricing and support could be improved."
"Optimizing processing times is one area I would like to see improved in Alteryx Designer. Sometimes, the workflows take an extremely long time to run. There are days when I have had to wait two to three hours for a single process to complete. There needs to be a functionality to split the processes."
"If the price were reduced then it would be more competitive."
"Alteryx's data science and machine learning capabilities are where it loses out to DataIQ."
"Alteryx Designer's cost should be improved."
"Alteryx Designer overall should be easier to use."
"It would be simpler if they provided a component where you could simply enter some parameters and see the results."
"It is challenging to view the data using Alteryx Designer."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with 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."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
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.
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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.
