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 has an easy setup process."
"Alteryx Designer's user interface is great, as it is very user-friendly."
"I like Alteryx's browser tool because you can view how your data is handled live. There are many other valuable tools like transpose and the crosstab. You can quickly pivot your data, and there are connections throughout the database. It's so easy to create a connection. If you connect to sign apps or a more complex database, the tool contains all the tools you need."
"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."
"The features I found most valuable are the preparation features – the Join and the Transform."
"It has great UI."
"The product is intuitive and easy to use."
"The solution is user-friendly."
"Allows more data between on-premises and cloud solutions"
"It is a complete ETL Solution."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The best part of this product is the extraction, transformation, and load."
"The most valuable feature is the copy activity."
"We use the solution to move data from on-premises to the cloud."
"The solution has a good interface and the integration with GitHub is very useful."
"Its integrability with the rest of the activities on Azure is most valuable."
"Alteryx Designer's cost should 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."
"If the price were reduced then it would be more competitive."
"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."
"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."
"The major concern in Alteryx Designer stems from the high costs attached to the product."
"It is challenging to view the data using Alteryx Designer."
"Azure Data Factory's pricing in terms of utilization could be improved."
"There is no built-in pipeline exit activity when encountering an error."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"Data Factory's cost is too high."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"The setup and configuration process could be simplified."
"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."
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, Informatica PowerCenter, SSIS, Palantir Foundry and SAP Data Services, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Snowflake, IBM InfoSphere DataStage and Microsoft Azure Synapse Analytics. 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.
