Alteryx Designer vs Azure Data Factory comparison

Alteryx and Microsoft are both solutions in the Data Integration category. Alteryx is ranked #11 with an average rating of 7.6, while Microsoft is ranked #1 with an average rating of 8.1. Alteryx holds a 3.2% mindshare in DI, compared to Microsoft’s 11.0% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 92% of Microsoft users who would recommend it.

Alteryx Designer

Read 30 Alteryx Designer reviews

5,863 Views
4,848 Comparison Views

89% willing to recommend

Azure Data Factory

Read 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

Alteryx Designer

Azure Data Factory

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 8, 2024

Azure Data Factory and Alteryx Designer compete in data integration and analytics. Azure Data Factory is preferred for pricing and support, while Alteryx Designer’s extensive features make it a worthwhile investment.

Features: Azure Data Factory provides cloud-based capabilities, seamless integration with Microsoft services, and is cost-effective for Microsoft users. Alteryx Designer offers intuitive workflow design, advanced analytics features, and flexibility in diverse environments.

Room for Improvement: Azure Data Factory could improve its data transformation functionalities, monitoring tools, and add more advanced features. Alteryx Designer could enhance automation, streamline integration options, and ease of use in initial deployment.

Ease of Deployment and Customer Service: Azure Data Factory ensures smooth deployment within Microsoft ecosystems with commendable customer support. Alteryx Designer is flexible but might require extra support during the initial setup. Azure’s customer service is notably strong.

Pricing and ROI: Azure Data Factory is praised for being budget-friendly with positive ROI, especially for Microsoft users. Alteryx Designer's higher price is seen as justified due to its comprehensive features, providing strong ROI through superior analytics capabilities.

To learn more, read our detailed Alteryx Designer vs. Azure Data Factory Report (Updated: December 2024).

Buyer's Guide

Alteryx Designer vs. Azure Data Factory

December 2024

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Categories and Ranking

Alteryx Designer

Ranking in Data Integration

11th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Alteryx Designer is 3.2%, down from 4.3% compared to the previous year. The mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Ajay Nayak

Senior Data Engineer at Baxter International Inc.

An easy-to-use automation solution with satisfying customer support

Sometimes, while getting data from a third-party product, like data sources that are not present in your system, Alteryx works a bit slowly. Even if you have a good configuration and you are pulling data from an SQL server like SAP, then the solution also has a slow work process. It shouldn't be that much slow if you are pulling ten thousand records, it should not take thirty minutes.

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Thulani David Mngadi

Data architect at Old Mutual

Data flow feature is valuable for data transformation tasks

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.

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Quotes from Members

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

Pros

"Workflow automation, in general, is valuable."

"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."

"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."

"The tool's most valuable feature is its API connections. Its predictive analytics feature has helped us pass some ETL processes to analysts rather than developers."

"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."

"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."

"We use Alteryx Designer for analytics. It's quite helpful because once we set it up, we don't have to manually update or process data repeatedly. It saves time, especially for financial reporting, which is typically done monthly or quarterly. Once we set it up initially, we only need to make occasional updates if necessary."

"Alteryx Designer is a tool that is pretty much easy to install."

More Alteryx Designer pros

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"The data copy template is a valuable feature."

"The most valuable feature is the ease in which you can create an ETL pipeline."

"The most important feature is that it can help you do the multi-threading concepts."

"The security of the agent that is installed on-premises is very good."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."

"It is easy to deploy workflows and schedule jobs."

More Azure Data Factory pros

Cons

"Alteryx Designer is not as fast as SSIS and is not good for large datasets. It also needs to improve database procedures. Though it is easy to use, it is limited in terms of technical aspects."

"The price of the product is an area with certain shortcomings where improvements are required."

"Alteryx's data science and machine learning capabilities are where it loses out to DataIQ."

"The product could offer more connectors and more databases with support for the in-database function."

"It would be simpler if they provided a component where you could simply enter some parameters and see the results."

"The conditional join feature should be improved."

"Alteryx Designer overall should be easier to use."

"The only thing is sometimes it can be a bit slow."

More Alteryx Designer cons

"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."

"Some of the optimization techniques are not scalable."

"It can improve from the perspective of active logging. It can provide active logging information."

"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."

"The product integration with advanced coding options could cater to users needing more customization."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"Azure Data Factory uses many resources and has issues with parallel workflows."

More Azure Data Factory cons

Pricing and Cost Advice

"Alteryx Designer is a very expensive solution."

"I rate the product's pricing a two to three out of ten."

"Alteryx is a little bit expensive compared to competing solutions."

"Each license is something like $4,000."

"Alteryx Designer is an expensive solution."

"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."

"The pricing is bit expensive."

"Alteryx Designer is an expensive solution."

More Alteryx Designer pricing and cost advice

"The price is fair."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"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."

"Data Factory is affordable."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"Product is priced at the market standard."

"ADF is cheaper compared to AWS."

More Azure Data Factory pricing and cost advice

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824,053 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

24%

Financial Services Firm

16%

Manufacturing Company

Computer Software Company

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Alteryx Designer?

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.

See all answers

What is your experience regarding pricing and costs for Alteryx Designer?

The solution is expensive. It has license fees, which are renewable every year.

See all answers

What needs improvement with Alteryx Designer?

Alteryx Designer is not as fast as SSIS and is not good for large datasets. It also needs to improve database procedures. Though it is easy to use, it is limited in terms of technical aspects.

See all answers

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

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...

See all answers

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...

See all answers

Comparisons

SSIS vs Alteryx Designer

Compared 10% of the time

FME vs Alteryx Designer

Compared 9% of the time

Informatica PowerCenter vs Alteryx Designer

Compared 7% of the time

SnapLogic vs Alteryx Designer

Compared 7% of the time

SAP Data Services vs Alteryx Designer

Compared 5% of the time

More Alteryx Designer Competitors

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 8% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Product Reports

Buyer's Guide

Alteryx Designer

December 2024

Download Alteryx Designer product report

Buyer's Guide

Azure Data Factory

December 2024

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Learn More

Alteryx

Microsoft

Overview

Information not available

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

Buyer's Guide

Alteryx Designer vs. Azure Data Factory

December 2024

Free Report: Alteryx Designer vs. Azure Data Factory

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