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Alteryx One vs Azure Data Factory comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 16, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.6
Alteryx delivers quick ROI with enhanced efficiency, justifying higher costs through automation, time savings, and improved data accuracy.
Sentiment score
5.3
Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
Senior Rpa Consultant at a computer software company with 51-200 employees
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Chief Information Officer at granistr
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
 

Customer Service

Sentiment score
7.1
Alteryx's support is praised for responsiveness and community, though some note occasional delays and varied support quality.
Sentiment score
6.2
Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.
Customer support from Alteryx has been amazing.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
Senior Analyst at Guardian India Operation
I contacted customer support once or twice, and they were quick to respond.
Experience Technocrat driving IT initiatives at WISDOMBOWL
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
The technical support from Microsoft is rated an eight out of ten.
Chief Analytics Officer at Idiro Analytics
The technical support is responsive and helpful
Sr. Technical Architect at Hexaware Technologies Limited
 

Scalability Issues

Sentiment score
7.2
Alteryx is scalable for enterprise needs, handling large datasets efficiently, but cost and Designer limitations are concerns.
Sentiment score
7.3
Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Senior Rpa Consultant at a computer software company with 51-200 employees
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is scalable, and I would give it eight out of ten.
Experience Technocrat driving IT initiatives at WISDOMBOWL
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
 

Stability Issues

Sentiment score
7.8
Alteryx is praised for its stability and reliability, especially with large datasets, outperforming competitors in speed and consistency.
Sentiment score
7.8
Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
Software Engineer at a computer software company with 10,001+ employees
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Legal Coordinator at a transportation company with 10,001+ employees
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
Senior Analyst at Guardian India Operation
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
It gives me the accurate result.
Test Engineer at Happiest Minds Technologies
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
 

Room For Improvement

Alteryx needs better database connectivity, visualization, pricing, cloud deployment, documentation, and user interface for improved usability and performance.
Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
Legal Coordinator at a transportation company with 10,001+ employees
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
Senior Capacity Planner at a financial services firm with 10,001+ employees
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
Senior Consultant at a consultancy with 201-500 employees
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity.
Test Engineer at Happiest Minds Technologies
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
 

Setup Cost

Alteryx is praised for features but noted for high costs, leading some to seek affordable alternatives for smaller teams.
Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Senior Rpa Consultant at a computer software company with 51-200 employees
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Software Engineer at a computer software company with 10,001+ employees
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
 

Valuable Features

Alteryx offers automation, user-friendly drag-and-drop features, enabling efficient data processing, predictive analytics, and geospatial analysis for diverse industries.
Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Chief Information Officer at granistr
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Senior Consultant at a consultancy with 201-500 employees
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
Senior Rpa Consultant at a computer software company with 51-200 employees
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Data Engineer at Vthinktechnologies
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
Director at a computer software company with 1,001-5,000 employees
 

Categories and Ranking

Alteryx One
Ranking in Data Integration
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Predictive Analytics (2nd), Data Science Platforms (4th), Data Preparation Tools (1st)
Azure Data Factory
Ranking in Data Integration
6th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Cloud Data Warehouse (6th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Alteryx One is 1.2%, down from 2.0% compared to the previous year. The mindshare of Azure Data Factory is 2.2%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.2%
Alteryx1.2%
Other96.6%
Data Integration
 

Featured Reviews

ManojBehera - PeerSpot reviewer
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Automated complex ETL workflows have reduced coding effort and improved data integration
One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.
Kunal Das - PeerSpot reviewer
Test Engineer at Happiest Minds Technologies
Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling
If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.
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Answers from the Community

SO
CHIEF INFORMATION OFFICER - CIO - Innovation and Digital Platform Transformation - Mortgage Lending at THE COMMUNITY PRESERVATION CORPORATION
Dec 2, 2021
Dec 2, 2021
Greetings, Stefan. Alteryx is basically an ETL tool that evolved to deliver some Data Viz and ML features too. This means that its main purpose is to extract data from different sources, combine and transform them and finally load them in a different database.Denodo is a data virtualization tool, which means it does all the transformations without extracting from one place and loading to ano...
2 out of 3 answers
EB
Director of Community at PeerSpot (formerly IT Central Station)
Nov 16, 2021
Hi @Rushabh-Shah, @Kevin Monte De Ramos, @Avi Shvartz ​and @AmitJain. Can you please assist here and share your knowledge with the community?
DG
Managing Partner at Data Pine
Nov 18, 2021
Greetings, Stefan.   Alteryx is basically an ETL tool that evolved to deliver some Data Viz and ML features too.  This means that its main purpose is to extract data from different sources, combine and transform them and finally load them in a different database.Denodo is a data virtualization tool, which means it does all the transformations without extracting from one place and loading to another one.  It´s a cloud-based solution and it charges by the traffic.  If your company has specific General Data Protection Regulation that prohibits for instance that you extract the data located in a data center in Europe and loading them in a cluster located in the USA, you will probably need a virtualization tool like Denodo instead of an ETL like Alteryx.  Virtualization tools are usually more expensive in a long run Azure Data Factory is a platform meant to leverage the use of Azure.  Microsoft´s objective is to sell its cloud solution as a whole.  It contains a Data Studio (to manage and control your data), SPARK (which is a Hadoop in memory) and a data lake storage.As you see, those are 3 different products that do not make much sense to be used together.
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
7%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise20
Large Enterprise73
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
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 an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
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 Q...
 

Also Known As

Alteryx Designer Cloud, Alteryx Designer
No data available
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
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
Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
917,181 professionals have used our research since 2012.