Azure Data Factory vs Domo comparison

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Azure Data Factory

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Executive SummaryUpdated on Dec 19, 2024

Domo and Azure Data Factory are both leading solutions in the data integration and transformation category. Domo offers advantages with user-friendly tools that are accessible to non-specialized users, but Azure Data Factory appears to have the upper hand for enterprises due to its strong integration with Azure services and extensive data source connections.

Features: Domo features a diverse set of connectors, Magic ETL for data processing, and an intuitive interface catering to non-technical users. Its data visualization tools simplify presenting information to varied user skill levels. Azure Data Factory is recognized for its seamless integration with Azure services, comprehensive set of over 90 connectors across data types, and powerful ETL capabilities through its user-friendly, drag-and-drop interface.

Room for Improvement: Domo could enhance its data management and visualization flexibility and address the slow rendering speeds. It is also seen as limited in connector offerings, necessitating improvements in integration tools. Azure Data Factory needs better integration with non-Azure systems and enhanced monitoring capabilities. Users also report the need for more intuitive user interface design and improved documentation to enhance usability.

Ease of Deployment and Customer Service: Domo excels in on-premises deployment and provides technical support that is mostly dependable, though initial setup may face delays. Azure Data Factory's cloud-based alignment is beneficial for modern digital strategies, and although its customer service is generally reliable, some users critique the clarity of its documentation.

Pricing and ROI: Domo is considered expensive but offers significant ROI due to quick implementation and operational savings, with pricing varying significantly. Some users find it challenging to justify the cost for smaller operations. Azure Data Factory's usage-based pricing is competitive, although it can grow costly with increased data processing needs, yet offers a compelling ROI for scalability-focused enterprises.

To learn more, read our detailed Azure Data Factory vs. Domo Report (Updated: March 2026).

Azure Data Factory vs. Domo

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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

6.1

Azure Data Factory users save time and reduce costs, achieving ROI and enhanced satisfaction with centralized data integration.

Sentiment score

5.7

Domo users report efficiency and data visibility gains, though experiences with costs, functionality, and financial benefits vary significantly.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

If you're actually using Domo at a very limited case and you're being charged $20,000, we've seen ROI there, but once it goes really high, you really need to check your metrics and check your profit.

Samuel Adeyemo

Founder & CEO at AI-OT

For more quotes and insights, download the Domo report

Customer Service

Sentiment score

6.3

Azure Data Factory users praise support and documentation, but note delays and high costs in paid consulting services.

Sentiment score

6.8

Domo customer service is responsive and knowledgeable, but resource challenges sometimes delay resolution, especially for smaller customers.

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

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Sr. Technical Architect at Hexaware Technologies Limited

They are not slow on responding or very informative.

Revital Hajaj

Sales & Projects Manger at ACS

No matter how complex the problem is, it can be taken care of by the support team.

Manthan J.

Data Analyst at Anonymous

They were quite professional and in around three to five working days, they had identified where they suspected there was an issue and I was able to fix it.

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Analytics Manager at KOKO Networks

It's very easy to get technical support from Domo.

Dave Ramos

Chief Technology Officer ☆ Chief Product Officer ☆ Fractional CTO ☆ Board Advisor at a manufacturing company with 1-10 employees

Scalability Issues

Sentiment score

7.4

Azure Data Factory is scalable and cloud-native, suitable for medium to large projects, despite some integration limitations.

Sentiment score

6.2

Domo excels in scalability and integration, supporting diverse businesses with real-time analytics despite potential cost concerns.

Azure Data Factory is highly scalable.

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Chief Analytics Officer at Idiro Analytics

The fact that you're able to easily identify the pipelines or flows that have errors, and it notifies you when you're building a pipeline where you can run previews and tell where to fix issues, is helpful.

Analytics Manager at KOKO Networks

When fetching files larger than 100 MB from SFTP or any other portal, Domo becomes slow due to the heavy file size.

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Assistant Manager at a tech services company with 10,001+ employees

Everything comes under the same umbrella and it's pretty user-friendly.

Manthan J.

Data Analyst at Anonymous

Stability Issues

Sentiment score

7.7

Azure Data Factory is reliable, with minor connection issues and improved stability, despite occasional backward compatibility changes.

Sentiment score

6.7

Users consider Domo stable with high uptime, efficient handling of large datasets, and quick resolution of maintenance issues.

The solution has a high level of stability, roughly a nine out of ten.

For more quotes and insights, download the Azure Data Factory report

Chief Analytics Officer at Idiro Analytics

In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.

Analytics Manager at KOKO Networks

In terms of overall stability of the platform, it's very stable.

Dave Ramos

Chief Technology Officer ☆ Chief Product Officer ☆ Fractional CTO ☆ Board Advisor at a manufacturing company with 1-10 employees

During that time, we faced issues from the project side as Domo was not visible in our portal.

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Assistant Manager at a tech services company with 10,001+ employees

Room For Improvement

Azure Data Factory requires better integration, user interface, pricing, real-time processing, connectors, and improved compatibility with Azure services.

Domo struggles with pricing, interface, and data issues, needing better visualizations, support, ETL, AI, and customization features.

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

Chief Analytics Officer at Idiro Analytics

Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.

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Sr. Technical Architect at Hexaware Technologies Limited

There is a problem with the integration with third-party solutions, particularly with SAP.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

End users require a license to run their own reports and dashboards, which are fairly expensive.

reviewer2585304

Technical Project Manager at a educational organization with 201-500 employees

Some technical aspects such as Beast Mode calculation could be improved in Domo, as it would provide more clarity and help in giving insights to clients or customer business team requirements.

reviewer2757087

Senior Engineer at a tech services company with 10,001+ employees

One of the areas where we've had frustrations with Domo is the aesthetics. The aesthetics are quite limited compared to other BI tools such as Tableau and Power BI.

For more quotes and insights, download the Domo report

Analytics Manager at KOKO Networks

Setup Cost

Azure Data Factory pricing is complex, varying with data usage and integrations, leading to unpredictable monthly costs.

Domo offers flexible, negotiable pricing, often high but justified by integrated features, comparable to tools like Tableau.

The pricing is cost-effective.

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

For more quotes and insights, download the Azure Data Factory report

Sr. Technical Architect at Hexaware Technologies Limited

Domo's pricing is high compared to other BI tools, and it is costly.

reviewer2757087

Senior Engineer at a tech services company with 10,001+ employees

For long-time users, it can become expensive, but the trade-off is access to the entire platform instead of licensing different components separately.

Dave Ramos

Chief Technology Officer ☆ Chief Product Officer ☆ Fractional CTO ☆ Board Advisor at a manufacturing company with 1-10 employees

They quoted approximately one dollar per KB.

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Assistant Manager at a tech services company with 10,001+ employees

Valuable Features

Azure Data Factory excels with scalability, ease of use, robust data transformations, seamless orchestration, and extensive connector support.

Domo provides user-friendly data transformation, real-time insights, and secure governance, ideal for large-scale deployments and efficient decision-making.

It connects to different sources out-of-the-box, making integration much easier.

For more quotes and insights, download the Azure Data Factory report

Sr. Technical Architect at Hexaware Technologies Limited

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

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.

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

App Studio is valuable because it allows all the customization we needed; we can decode it, with the view and grid which are all I need, drill-downs, and everything can be done the way I need it.

reviewer2757087

Senior Engineer at a tech services company with 10,001+ employees

None of the other tools provide the kind of support that enables chatting and working on the same item simultaneously.

BijayKumar

Senior Analyst at Blend360

Domo has positively impacted my organization by giving everyone the ability to see different data cards and make decisions quicker without relying on BI.

reviewer2801583

Marketing Manager at a construction company with 501-1,000 employees

For more quotes and insights, download the Domo report

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Domo

Ranking in Data Integration

15th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (4th), Business Performance Management (5th), Reporting (4th), Data Visualization (5th)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.8%, down from 9.7% compared to the previous year. The mindshare of Domo is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.8%
Domo	0.7%
Other	96.5%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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Have improved workflow efficiency through custom reports but encountered formatting limitations

Assistant Manager at a tech services company with 10,001+ employees

The downsides of Domo are that we don't have a feature in the same column. When data comes in a time format, text format, and number format, we cannot segregate and create conditional formatting in that column. If in the future they develop this feature, it will benefit more users. Domo requires maintenance on my end, such as updates. I am maintaining some dashboards on a weekly basis and monthly basis daily reports. Because we need to upload in SFTP, we cannot schedule or auto-schedule due to rate purposes. We manually handle the data sets. If there were an option to reduce the cost, it would be easier to access.

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

Government

University

10%

Manufacturing Company

Financial Services Firm

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	13
Large Enterprise	20

Questions from the Community

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...

What is your experience regarding pricing and costs for Domo?

My experience with pricing, setup cost, and licensing is that there was very little.

What needs improvement with Domo?

I'm not sure how Domo can be improved overall, as it's a really good experience.

What is your primary use case for Domo?

My main use case for Domo involves building different tables and different cards so I can look at different data points. A quick specific example of a table I have built or a data point I often loo...

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Product Reports

Azure Data Factory

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Also Known As

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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.

Microsoft

Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

Find more information on The Business Cloud Here.

Sample Customers

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

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!

Azure Data Factory vs. Domo