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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:
 

ROI

Sentiment score
4.4
Airbyte Cloud boosts productivity, reducing data prep time and costs by up to 70%, eliminating dedicated data engineers.
Sentiment score
5.3
Users praise Azure Data Factory for improved ROI through cost savings, enhanced integration, and increased operational efficiency and satisfaction.
We also avoid hiring a dedicated data engineer for pipeline maintenance, which has saved us a significant salary.
Product Manager Intern at a agriculture with 11-50 employees
I have observed a return on investment with 30 to 70 percent of costs saved.
Senior Infrastructure Engineer at Publicis Sapient
The main benefit was reducing engineering time spent maintaining custom ingestion pipelines and lowering operational overhead around data syncs, which indirectly contributes to efficiency.
Senior Software Engineer at a tech vendor with 11-50 employees
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
 

Customer Service

Sentiment score
3.4
Airbyte Cloud customer service is professional, quick, often resolves issues internally, with users praising responsive and helpful support.
Sentiment score
6.2
Azure Data Factory support is mixed; praised for responsiveness and documentation, but some find it slow and inadequate.
Airbyte Cloud's customer support is professional and quite responsive.
Senior Infrastructure Engineer at Publicis Sapient
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
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
Sr. Technical Architect at Hexaware Technologies Limited
 

Scalability Issues

Sentiment score
4.1
Airbyte Cloud offers robust scalability, efficiently supporting data growth and parallel syncs, with users praising its flexible scaling capabilities.
Sentiment score
7.3
Azure Data Factory is praised for its scalability and flexibility, despite some integration issues in older tiers.
We can run multiple syncs in parallel at the same time.
Senior Infrastructure Engineer at Publicis Sapient
Airbyte Cloud is highly scalable, and we can scale it up whenever required on demand.
Data Engineer at a tech vendor with 51-200 employees
Airbyte Cloud scales well as our data needs grow to a scale of ten.
Product Manager Intern at a agriculture with 11-50 employees
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
 

Stability Issues

Sentiment score
7.7
Airbyte Cloud offers stable syncs with reliable accuracy, surpassing Fivetran, despite minor issues and occasional glitches.
Sentiment score
7.8
Azure Data Factory is stable and dependable, despite occasional connection issues and challenges with SQL query optimization.
The incremental sync feature is particularly very accurate as it only moves new or changed records, which keeps our warehouse clean and our data cost-controlled.
Product Manager Intern at a agriculture with 11-50 employees
Airbyte Cloud has handled our workloads well for scheduled syncs between Postgres and a few SaaS sources and Snowflake.
Senior Software Engineer at a tech vendor with 11-50 employees
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
It gives me the accurate result.
Test Engineer at Happiest Minds Technologies
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
 

Room For Improvement

Airbyte Cloud requires AI improvements, better error messages, UI simplification, security enhancements, and improved connectors and reporting features.
Azure Data Factory users experience setup complexity, connectivity issues, and seek improved performance, automation, and integration with other platforms.
A more user-friendly error explanation would be beneficial.
Product Manager Intern at a agriculture with 11-50 employees
Comprehensive video tutorials, demonstrations, or proper documentation would be beneficial.
Senior Infrastructure Engineer at Publicis Sapient
Error debugging depth in the UI, more granular visibility into why a sync failed, and better handling or guidance around schema changes when they happen frequently in source systems.
Senior Software Engineer at a tech vendor with 11-50 employees
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
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.
Test Engineer at Happiest Minds Technologies
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
 

Setup Cost

Airbyte Cloud users reported significantly lower costs than competitors, with savings of 30-70% compared to Fivetran.
Azure Data Factory provides cost-effective, usage-based pricing suitable for various budgets, with expenses depending on data volume and services.
Its price is 30 to 70 percent lower compared to competitor tools in the market.
Senior Infrastructure Engineer at Publicis Sapient
I think the overall cost was relatively low, so I don't think we had any issues with billing or costs.
Senior Product Analyst at Argyle
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
 

Valuable Features

Airbyte Cloud streamlines data integration with no-code setup, extensive connectors, and automated scheduling for improved workflow and efficiency.
Azure Data Factory offers scalable ETL solutions with user-friendly interface, seamless Azure integration, robust orchestration, and effective dataset handling.
Definitely the pre-built connectors have been the most valuable feature for my team, and it has made my workflow easier.
Product Manager Intern at a agriculture with 11-50 employees
The best features I found most useful were the large number of pre-built connectors, the managed scheduling for syncs, and the ability to monitor sync status and failures through the UI without needing to maintain infrastructure.
Senior Software Engineer at a tech vendor with 11-50 employees
The best feature that I have liked about it is the scheduling and automation features that help reduce manual effort significantly in moving data between systems.
Python Developer at Appice
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
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.
Director at a computer software company with 1,001-5,000 employees
 

Categories and Ranking

Airbyte Cloud
Ranking in Data Integration
20th
Average Rating
8.4
Reviews Sentiment
4.5
Number of Reviews
10
Ranking in other categories
Cloud Data Integration (15th)
Azure Data Factory
Ranking in Data Integration
5th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Cloud Data Warehouse (7th)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Airbyte Cloud is 0.7%. The mindshare of Azure Data Factory is 2.3%, down from 7.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.3%
Airbyte Cloud0.7%
Other97.0%
Data Integration
 

Featured Reviews

ParthasarathyT - PeerSpot reviewer
Senior Infrastructure Engineer at Publicis Sapient
Centralized data pipelines have reduced costs and now power faster analytics and reporting
The best features Airbyte Cloud offers include the centralization of data for analytics by combining data from SaaS tools, databases, and APIs into one place. It enables production models, BI reporting, and ML use cases. Airbyte Cloud has a huge connector ecosystem with over 600 connectors across SaaS tools, databases, apps, and platforms that can be integrated. Faster integration requires less engineering work. Automation and reliability are significant features, allowing me to schedule syncs daily with auto-retry, logging, and alerting capabilities. Incremental updates such as CDC for efficiency are available. Airbyte Cloud is a managed cloud solution with no infrastructure worries, as everything is managed. It is customizable, and the significant difference is that we have full control. It is also more cost-effective than competitors.Airbyte Cloud has positively impacted my organization by reducing the manpower required for managing the underlying resources of a data sync. It directly performs the job that a database engineer would do by managing a huge connector ecosystem with over 600 connectors across SaaS tools and databases, enabling faster integration. Whenever new data arrives, it automatically syncs to the destination source without requiring any engineer to manually copy or replicate the data. This approach helps our organization significantly.
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.
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Top Industries

By visitors reading reviews
Construction Company
22%
Computer Software Company
15%
Comms Service Provider
9%
Manufacturing Company
8%
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
9%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Large Enterprise4
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
 

Questions from the Community

What is your experience regarding pricing and costs for Airbyte Cloud?
My experience with pricing, setup cost, and licensing is that I did not deal with the billing side of Airbyte Cloud, but I think the overall cost was relatively low, so I don't think we had any iss...
What needs improvement with Airbyte Cloud?
The areas for improvement could be more detailed error logs. The error logs that are coming are not very comprehensive, but they could provide more detailed error messages. Additionally, an enhance...
What is your primary use case for Airbyte Cloud?
I use Airbyte Cloud primarily for data integration and ETL workflows between different systems and destination databases. My setup is straightforward with Airbyte Cloud, and I use it for creating n...
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: August 2026.
909,725 professionals have used our research since 2012.