Alteryx Designer vs Azure Data Factory comparison

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Alteryx Logo
7,954 views|6,577 comparisons
96% willing to recommend
Microsoft Logo
25,660 views|20,160 comparisons
91% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Jul 10, 2022

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.

  • Ease of Deployment: Users report that the initial setup and deployment of both solutions is straightforward.

  • Features: Users of both products are happy with their stability and scalability.

    Alteryx Designer users say that its integrated properties and integrated connectivity are valuable features and that it is a reliable and robust solution with good analytic capabilities. They would like to see support for more databases.

    Azure Data Factory users praise its data transformation feature and say it is flexible, user-friendly, and secure but could have better connectivity options.
  • Pricing: Alteryx Designer users feel that it is an expensive product, whereas most Azure Data Factory feel that it is reasonably priced.
  • ROI: Alteryx Designer users do not mention ROI. Azure Data Factory users report seeing an ROI.
  • Service and Support: Users of both solutions report being satisfied with the level of the support they receive.

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.

To learn more, read our detailed Alteryx Designer vs. Azure Data Factory Report (Updated: March 2024).
769,630 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"One of the things I like about Alteryx Designer is how easy it is to connect numerous data inputs, including API connectors. This helps tremendously in reducing the time required to extract data from systems like SAP that don't have straightforward connectivity options.""Alteryx Designer is stable.""The solution is user-friendly.""The product is intuitive and easy to use.""The solution is easy to integrate and user-friendly.""When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis.""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.""It has an easy setup process."

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"The trigger scheduling options are decently robust.""The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring.""The solution has a good interface and the integration with GitHub is very useful.""It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment.""Powerful but easy-to-use and intuitive.""Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft.""The solution is okay.""The most important feature is that it can help you do the multi-threading concepts."

More Azure Data Factory Pros →

Cons
"Alteryx Designer's pricing and support could be improved.""Alteryx Designer's cost should be improved.""Its cost can sometimes be a drawback.""The conditional join feature should be improved.""We need more documentation.""Sometimes, while getting data from a third-party product, the solution works slowly.""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.""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."

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"Data Factory's performance during heavy data processing isn't great.""Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement.""A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement.""If the user interface was more user friendly and there was better error feedback, it would be helpful.""It does not appear to be as rich as other ETL tools. It has very limited capabilities.""Azure Data Factory can improve by having support in the drivers for change data capture.""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.""Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."

More Azure Data Factory Cons →

Pricing and Cost Advice
  • "It is too expensive for our country. We are a small country, so it is too difficult to sell this solution. With Alteryx Designer, if you want to automate the data and run the flows, you have to pay more money. We were trying to automate the flows, and we found out that people have to pay 600 more for this feature, which makes it even more expensive. We are a partner for Tableau, and we are working with Tableau Prep, which is like a mini Alteryx. In Tableau Prep, you can drag and drop and make new connections with the different data sources. You can make all the connections. You can also publish a source. You don't have to pay more money with Tableau. You pay like $5 per user per month to access it."
  • "Alteryx is a little bit expensive compared to competing solutions."
  • "Alteryx Designer is an expensive solution."
  • "I rate Alteryx Designer a six out of ten for pricing."
  • "The licenses are expensive, making it difficult to consider acquiring additional licenses to the existing ones."
  • "Each license is something like $4,000."
  • "I rate the price of Alteryx Designer as a five on a scale of one to ten, where one is extremely expensive, and ten is a highly cheap product."
  • "I rate the price of Alteryx Designer a ten on a scale of one to ten, where one is low price and ten is high price."
  • More Alteryx Designer Pricing and Cost Advice →

  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis.
    Top Answer:The only thing is sometimes it can be a bit slow.
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Ranking
    9th
    out of 101 in Data Integration
    Views
    7,954
    Comparisons
    6,577
    Reviews
    20
    Average Words per Review
    423
    Rating
    7.8
    1st
    out of 101 in Data Integration
    Views
    25,660
    Comparisons
    20,160
    Reviews
    47
    Average Words per Review
    509
    Rating
    8.0
    Comparisons
    Learn More
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    Sample Customers
    Information Not Available
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    Top Industries
    REVIEWERS
    Computer Software Company33%
    Financial Services Firm27%
    Manufacturing Company13%
    Non Profit7%
    VISITORS READING REVIEWS
    Educational Organization19%
    Financial Services Firm17%
    Manufacturing Company7%
    Computer Software Company6%
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    Company Size
    REVIEWERS
    Small Business44%
    Midsize Enterprise11%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise24%
    Large Enterprise64%
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    Buyer's Guide
    Alteryx Designer vs. Azure Data Factory
    March 2024
    Find out what your peers are saying about Alteryx Designer vs. Azure Data Factory and other solutions. Updated: March 2024.
    769,630 professionals have used our research since 2012.

    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.

    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.