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: September 2025).

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

6.8

Azure Data Factory offers cost-effective, efficient data consolidation for actionable insights, saving time and resources compared to manual processes.

Sentiment score

6.1

Domo's effectiveness varies widely, offering cost savings and efficiency for some, while others find it costly and inefficient.

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

No quotes available

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Customer Service

Sentiment score

6.4

Azure Data Factory support is generally satisfactory, with responsive assistance, though some users report delays or costly consulting.

Sentiment score

6.9

Domo's customer service is responsive but faces communication delays and gaps between support teams, impacting smaller clients.

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

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

Sr. Technical Architect at Hexaware Technologies Limited

The technical support for Azure Data Factory is generally acceptable.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

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.

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

Support-wise, they are good.

For more quotes and insights, download the Domo report

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

Scalability Issues

Sentiment score

7.5

Azure Data Factory is highly scalable and flexible but has room for improvement with third-party integrations and large datasets.

Sentiment score

6.4

Domo efficiently scales with diverse user groups and data, though performance may vary with massive datasets, facing competition.

Azure Data Factory is highly scalable.

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

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.

For more quotes and insights, download the Domo report

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

Sigma, which is written for Snowflake, scales more easily than Domo.

reviewer2585304

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

Stability Issues

Sentiment score

7.8

Azure Data Factory is stable and reliable, with occasional issues in responsiveness and large dataset handling.

Sentiment score

7.1

Domo is generally stable, handling large data efficiently, with minor data refresh issues and connectivity dependent on internet quality.

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 needs better integration, scheduling, support, AI features, and user interface improvements for efficient data management.

Domo users seek improved data integration, visualization, browser compatibility, cost-effectiveness, and support, while desiring enhanced collaboration 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.

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

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 offers competitive, flexible pricing based on usage, with costs integrating Azure services and varying significantly.

Domo's pricing is higher but justified by robust features, flexible licensing, and included cloud infrastructure reducing IT needs.

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 in data integration with user-friendly features, scalability, and over 100 connectors for seamless data movement.

Domo excels in ETL, data visualization, governance, and collaboration, offering user-friendly tools for handling complex data tasks.

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

I have been using it for four years and have been able to extract the information I need from it.

reviewer2585304

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

The most valuable feature of Domo is the fact that you can connect multiple inputs and you don't have to have a data warehouse.

For more quotes and insights, download the Domo report

Analytics Manager at KOKO Networks

Categories and Ranking

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 (2nd)

Domo

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (6th), Business Performance Management (10th), Reporting (8th), Data Visualization (7th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of Domo is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
Domo	0.7%
Other	94.1%

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

13%

Computer Software Company

12%

Manufacturing Company

Government

University

12%

Computer Software Company

10%

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	11
Large Enterprise	19

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 do you like most about Domo?

All our client SLAs and daily and weekly dashboards are tracked on Domo.

What is your experience regarding pricing and costs for Domo?

Domo's pricing is high compared to other BI tools, and it is costly. I do not find Domo cost-effective; it would be very hard if it is a single user. However, if it goes with the organization's uti...

What needs improvement with Domo?

I have not used Domo's collaborative features extensively. Regarding Domo's AI-driven insights in uncovering trends and forecasting outcomes, the limiting factor is that you need to define all of y...

Snowflake vs Azure Data Factory

Comparisons

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Compared 4% of the time

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Compared 3% of the time

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Product Reports

Azure Data Factory

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Download Domo product report

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