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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
53rd
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
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (2nd)
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Axway AMPLIFY Application Integration is 0.6%, up from 0.4% compared to the previous year. The mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.2%
Axway AMPLIFY Application Integration0.6%
Other94.2%
Data Integration
 

Featured Reviews

Chris Grego - PeerSpot reviewer
A stable solution that can be used for logistics
Axway AMPLIFY Application Integration can be used for logistics Axway AMPLIFY Application Integration is quite a stable solution. Axway AMPLIFY Application Integration is an expensive solution. I have worked with Axway AMPLIFY Application Integration for six months. We experienced a…
KandaswamyMuthukrishnan - PeerSpot reviewer
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 product is robust."
"Axway AMPLIFY Application Integration is quite a stable solution."
"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."
"Axway AMPLIFY Application Integration is very easy to use."
"Data Factory's most valuable feature is Copy Activity."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The function of the solution is great."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"It is easy to deploy workflows and schedule jobs."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
 

Cons

"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."
"Axway AMPLIFY Application Integration is an expensive solution."
"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."
"There aren't many third-party extensions or plugins available in the solution."
"The Microsoft documentation is too complicated."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"It would be better if it had machine learning capabilities."
"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."
"It can improve from the perspective of active logging. It can provide active logging information."
 

Pricing and Cost Advice

"Users need to pay an annual licensing fee for the solution."
"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."
"The price is fair."
"Data Factory is affordable."
"The licensing cost is included in the Synapse."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Insurance Company
9%
Non Profit
6%
Financial Services Firm
13%
Computer Software Company
12%
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 Enterprise55
 

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: September 2025.
868,787 professionals have used our research since 2012.