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Azure Data Factory vs DBamp 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
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (3rd)
DBamp
Ranking in Data Integration
41st
Average Rating
8.0
Reviews Sentiment
8.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of DBamp is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

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.
reviewer2542599 - PeerSpot reviewer
Integration with existing tools enhances data handling capabilities
DBM allows integration with SQL Server, which is beneficial for Microsoft. While we are only downloading at the moment, we have tested some uploads, and the performance seems better than Data Loader, though it is more complicated. Both products use recommended security protocols, and we don't worry about their security.

Quotes from Members

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

Pros

"Allows more data between on-premises and cloud solutions"
"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."
"Data Factory's best features are simplicity and flexibility."
"In terms of my personal experience, it works fine."
"It is easy to integrate."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"Its integrability with the rest of the activities on Azure is most valuable."
"I am one hundred percent happy with the stability."
"Their support is good, very responsive despite being overseas."
"DBM allows integration with SQL Server, which is beneficial for Microsoft."
 

Cons

"The one element of the solution that we have used and could be improved is the user interface."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"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."
"There are limitations when processing more than one GD file."
"There's space for improvement in the development process of the data pipelines."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"DBM is a bit more complicated when compared to DataLoader, especially for more complex operations."
"DBM is a bit more complicated when compared to DataLoader, especially for more complex operations."
 

Pricing and Cost Advice

"The licensing cost is included in the Synapse."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"The solution's pricing is competitive."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"The cost is based on the amount of data sets that we are ingesting."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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...
What is your experience regarding pricing and costs for DBamp?
There is a charge, but it is not a huge charge. It is definitely cost-effective for what is received from it.
What needs improvement with DBamp?
DBM is a bit more complicated when compared to DataLoader, especially for more complex operations. While DataLoader allows mapping, with DBM, everything must be done manually, which increases compl...
What is your primary use case for DBamp?
We are using DBM for uploading. Currently, we are using it to download. However, we want to use it for uploading, however, it is more complicated, so we have not achieved that yet.
 

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
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