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Axway AMPLIFY Application Integration vs Azure Data Factory comparison

 

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

Axway AMPLIFY Application I...
Ranking in Data Integration
56th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Azure Data Factory
Ranking in Data Integration
3rd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (2nd)
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Axway AMPLIFY Application Integration is 0.9%, up from 0.3% compared to the previous year. The mindshare of Azure Data Factory is 3.0%, down from 9.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory3.0%
Axway AMPLIFY Application Integration0.9%
Other96.1%
Data Integration
 

Featured Reviews

GC
Principal Solution Architect at a comms service provider with 51-200 employees
The solution is robust and affordable, but it needs to improve its scalability and visibility of integrations
The initial setup is easy. It is very simple to start with. The last release from Axway provided many ways to simplify and speed up integration. The solution is deployed on the cloud and on-premises. We use Google, Amazon, and Azure as our cloud providers. The time taken for deployment is very short because the tool is robust.
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

"The most valuable feature is that API Gateway is extremely flexible for any feature, such as connecting to Active Directory to pull the users and their authentication information. There are three ways to connect to Active Directory, and the reason for this is that the computing environments of our customers are very different. Every feature in API Gateway has got multiple methodologies for accomplishing those tasks, which is important because customers are constantly changing their security models, IT models, networks, etc. API Gateway is very flexible. It is not a one size fits all sort of situation where it is very rigid, and you can only use these pull-down menus, and that's all it ever does. It is much more open than that. It can give you fabulous reports on your users, usage, security issues, and the data sets that are going through there. You'll suddenly have visibility on the movement of data within or between your organization and other organizations. The other thing is that you're connecting API to API, which is machine to machine. The things that were done manually in an Excel spreadsheet before exchanging data through email are now done machine to machine and server to server. It speeds up the velocity of your business."
"The product is robust."
"Axway AMPLIFY Application Integration is quite a stable solution."
"Axway AMPLIFY Application Integration is very easy to use."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"We have been using drivers to connect to various data sets and consume data."
"Powerful but easy-to-use and intuitive."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"It is a complete ETL Solution."
"The data is more scalable."
"The most valuable features are data transformations."
"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

"Because it is so flexible, you really need someone who knows Axway Gateway or has been through the training and is certified. Just because you know APIs doesn't mean you're going to walk into that API Gateway and understand what to click on. If you're going to get something done quickly, you need to find an engineer from a company who has some experience with it. It is easy to learn, but if you're doing on-the-job training, it is going to take you longer to get your project accomplished."
"The product must improve its visibility and scalability."
"Axway AMPLIFY Application Integration is an expensive solution."
"The most important point to improve is the capability to deploy in large enterprises."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score."
"Some prebuilt data source or data connection aspects are generic."
"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 is a problem with the integration with third-party solutions, particularly with SAP."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
 

Pricing and Cost Advice

"The product is not expensive."
"API Gateway is priced on the number of transactions you run through it. API Gateway is free, and you can install as many API Gateways as you like or are necessary for your network. For example, if all of the data is inside your network or firewall, you may just need one API Gateway. If you have external customers trying to come into your organization through your firewall, you're going to need one API Gateway outside the firewall and one inside the firewall. If you have a lot of remote offices, you may want to put API Gateway in some of those offices as well. They only charge you for your usage of it. In other words, the number of transactions going through it. That's a good benefit."
"Users need to pay an annual licensing fee for the solution."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Pricing appears to be reasonable in my opinion."
"Understanding the pricing model for Data Factory is quite complex."
"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."
"The solution's pricing is competitive."
"The pricing model is based on usage and is not cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
14%
Comms Service Provider
6%
Insurance Company
6%
Financial Services Firm
13%
Computer Software Company
11%
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 Enterprise19
Large Enterprise57
 

Questions from the Community

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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...
 

Also Known As

Integrator, Axway Integrator, AMPLIFY Application Integration
No data available
 

Overview

 

Sample Customers

BHF-BANK, BNP Paribas, Continental Corporation Automotive Group, Clearstream MFT, Federal Office of Information Technology, Systems and Telecommunication (FOITT), DHL, Union Nationale de Mutualit_s Socialistes, ZF Group, La Poste, Gassco, IdenTrust, Perugia Hospital, International Post Corporation, Bundesagentur fªr Arbeit (BA), IHC Health Solutions, Lenovo, Genzyme
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 Axway AMPLIFY Application Integration vs. Azure Data Factory and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.