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Azure Data Factory vs Infobright DB comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
Infobright DB
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Relational Databases Tools (39th), Data Warehouse (26th)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
it_user708987 - PeerSpot reviewer
Excellent reporting server that is compatible with MySQL
We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.

Quotes from Members

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

Pros

"It is a complete ETL Solution."
"I can do everything I want with SSIS and Azure Data Factory."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"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."
"Data Factory's most valuable feature is Copy Activity."
"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."
"Powerful but easy-to-use and intuitive."
"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"
 

Cons

"Lacks in-built streaming data processing."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Some of the optimization techniques are not scalable."
"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."
"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."
"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."
 

Pricing and Cost Advice

"The cost is based on the amount of data sets that we are ingesting."
"The pricing is a bit on the higher end."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"The price is fair."
"The solution's pricing is competitive."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"ADF is cheaper compared to AWS."
"Product is priced at the market standard."
"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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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Also Known As

No data available
Infobright
 

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
REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango
Find out what your peers are saying about Azure Data Factory vs. Infobright DB and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.