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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 January 2026, in the Data Integration category, the mindshare of Axway AMPLIFY Application Integration is 0.7%, up from 0.3% compared to the previous year. The mindshare of Azure Data Factory is 3.2%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory3.2%
Axway AMPLIFY Application Integration0.7%
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."
"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."
"The scalability of the product is impressive."
"It is beneficial that the solution is written with Spark as the back end."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"Azure Data Factory is a low code, no code platform, which is helpful."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"An excellent tool for pipeline orchestration."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
 

Cons

"Axway AMPLIFY Application Integration is an expensive solution."
"The most important point to improve is the capability to deploy in large enterprises."
"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."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"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."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
 

Pricing and Cost Advice

"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."
"The product is not expensive."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"Data Factory is expensive."
"The price you pay is determined by how much you use it."
"The licensing cost is included in the Synapse."
"The price is fair."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
15%
Insurance Company
6%
Retailer
6%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
9%
Government
7%
 

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: December 2025.
881,114 professionals have used our research since 2012.