No more typing reviews! Try our Samantha, our new voice AI agent.

Airbyte Cloud vs Azure Data Factory 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

Airbyte Cloud
Ranking in Data Integration
42nd
Average Rating
8.0
Reviews Sentiment
2.2
Number of Reviews
2
Ranking in other categories
Cloud Data Integration (23rd)
Azure Data Factory
Ranking in Data Integration
3rd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (2nd)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Airbyte Cloud is 0.5%. The mindshare of Azure Data Factory is 2.8%, down from 9.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.8%
Airbyte Cloud0.5%
Other96.7%
Data Integration
 

Featured Reviews

Bhaglal Kapar - PeerSpot reviewer
Senior System Engineer at a manufacturing company with 51-200 employees
Data workflows have accelerated and now optimize migration and cost management
The best feature Airbyte Cloud offers is data transformation. Airbyte Cloud has positively impacted our organization by being very helpful and speeding up our work environment. An example of how it has helped speed things up is that we have data here and there, which helps us to organize and speed up our migration. Data tasks help our workflow and organization because most of the things we do manually, so that helps organize.
KandaswamyMuthukrishnan - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Airbyte Cloud has positively impacted our organization by being very helpful and speeding up our work environment."
"Airbyte Cloud has positively impacted our organization because we were looking for multiple products and ended up choosing Airbyte because it is easy to use and set up."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"Azure Data Factory is a low code, no code platform, which is helpful."
"The solution is okay."
"I am one hundred percent happy with the stability."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"We use the solution to move data from on-premises to the cloud."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
 

Cons

"I think Airbyte Cloud can be improved by adding more connectors and more customizable connectors."
"Airbyte Cloud can be improved because it looks good so far, but based on the AI coming, they have to catch up with AI agents."
"There's space for improvement in the development process of the data pipelines."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"They should work on optimizing their licensing model and pricing structure."
"I have encountered a problem with the integration with third-party solutions, particularly with SAP."
"The pricing model should be more transparent and available online."
"As far as customer service and support with Azure Data Factory, we are not always satisfied with the response time."
"Real-time replication is required, and this is not a simple task."
"The setup and configuration process could be simplified."
 

Pricing and Cost Advice

Information not available
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"It's not particularly expensive."
"The cost is based on the amount of data sets that we are ingesting."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
885,311 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
38%
Healthcare Company
6%
Comms Service Provider
6%
Media Company
6%
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise57
 

Questions from the Community

What is your experience regarding pricing and costs for Airbyte Cloud?
My experience with pricing, setup cost, and licensing was good.
What needs improvement with Airbyte Cloud?
Airbyte Cloud can be improved because it looks good so far, but based on the AI coming, they have to catch up with AI agents. Everything seems to be going through AI, so that is a consideration for...
What is your primary use case for Airbyte Cloud?
Airbyte Cloud's main use case for our organization is to optimize our cost. A specific example of how we're using Airbyte Cloud to optimize costs is that we have some tools, and they also help us t...
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...
 

Overview

 

Sample Customers

Information Not Available
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
Find out what your peers are saying about Airbyte Cloud vs. Azure Data Factory and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.