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 is really easy to set up and the interface is easy to use."
"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."
"It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution."
"In StreamSets, everything is in one place."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"Alteryx Designer is stable."
"The product offers very good analytics."
"Alteryx Designer's best features are that it's easy to use and performs well."
"The most valuable features are the integrated properties and integrated connectivity."
"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."
"I believe in the ability to connect to multiple data sources, as well as the ease of use to transform data and output data in a variety of formats."
"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."
"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."
"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."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"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."
"The most valuable feature of this solution would be ease of use."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The best part of this product is the extraction, transformation, and load."
"An excellent tool for pipeline orchestration."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
"Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using."
"The product could offer more connectors and more databases with support for the in-database function."
"Its price can be improved. It is too expensive for our country. Because of its high price, we can't sell Alteryx Designer in this region. We used to be their reseller partner. There is also an additional cost for automating the data and running the flows, which makes it even more expensive. It will be very good if they can let users automate the data for free. Other solutions like Tableau provide this feature for free."
"An improvement for Alteryx Designer would be faster bug fixes and updates."
"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."
"Alteryx could move faster to create a cloud equivalent of the desktop version of Designer."
"The actual usage part of it needs to be explained more. It's too vague right now."
"If the price were reduced then it would be more competitive."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"We have experienced some issues with the integration. This is an area that needs improvement."
"The deployment should be easier."
"The solution needs to be more connectable to its own services."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"The one element of the solution that we have used and could be improved is the user interface."
"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."
"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."
StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.
Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
With StreamSets, you can deliver the continuous data that drives the connected enterprise.
Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
Alteryx Designer is ranked 12th in Data Integration Tools with 9 reviews while Azure Data Factory is ranked 2nd in Data Integration Tools with 35 reviews. Alteryx Designer is rated 8.6, while Azure Data Factory is rated 8.0. The top reviewer of Alteryx Designer writes "Good analytics and data preparation and easy to set up". On the other hand, the top reviewer of Azure Data Factory writes "There's the good, the bad and the ugly....unfortunately lots of ugly". Alteryx Designer is most compared with SSIS, Palantir Foundry, Informatica PowerCenter and FME, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Microsoft Azure Synapse Analytics, Talend Open Studio and Snowflake. See our Alteryx Designer vs. Azure Data Factory report.
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We monitor all Data Integration Tools 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.