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Azure Data Factory vs Unifi comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

Categories and Ranking

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 (8th)
Unifi
Ranking in Data Integration
61st
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
Data Governance (40th), Data Preparation Tools (10th)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 4.4% compared to the previous year. The mindshare of Unifi is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.2%
Unifi0.9%
Other96.9%
Data Integration
 

Featured Reviews

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.
Doug Isabelle - PeerSpot reviewer
Owner at Doc-IT
Good management and pricing but not great for enterprise environments
In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this is to reboot and we need something that reboots on the fly. We also need better security for VLANs and VPNs. There are issues with certain Apple devices. Technical support is not very helpful. The initial setup, which seemed straightforward at first, had to be redone. This may not have been the fault of the product. We're not sure what went wrong.

Quotes from Members

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

Pros

"This is an excellent tool for pipeline orchestration; connecting the different components and activities as well as gathering data."
"The trigger scheduling options are decently robust."
"The solution is okay."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"The flexibility that Azure Data Factory offers is great."
"Azure Data Factory is easy to use and integrates well, providing good classification to bring data from diverse parts of the data infrastructure, whether from CSV files coming from the Cisco server, MySQL, Excel machines, or local network data from remote files."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"The controller makes it easy to control everything from one platform. The management is easy."
"It's easy to manage and supports the user, our guests, and our customers if they have a problem."
 

Cons

"When you raise an issue, sometimes the people who are available are unfamiliar with that particular technology, so they have to route the issue to the concerned person."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The deployment should be easier."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"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."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"It's stable, but it depends on the office and location."
"There are issues with certain Apple devices."
 

Pricing and Cost Advice

"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"Product is priced at the market standard."
"Pricing is comparable, it's somewhere in the middle."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"I would not say that this product is overly expensive."
"There is no license. The solution is free."
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Financial Services Firm
10%
Outsourcing Company
8%
Computer Software Company
7%
Construction Company
18%
Comms Service Provider
13%
Outsourcing Company
11%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
No data available
 

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...
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Overview

 

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
Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.
Find out what your peers are saying about Azure Data Factory vs. Unifi and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.