Axway AMPLIFY Application Integration vs Azure Data Factory comparison

"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."

"Axway AMPLIFY Application Integration is quite a stable solution."

"The product is robust."

"Data Factory's most valuable feature is Copy Activity."

"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."

"Data Factory's best features are simplicity and flexibility."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"I am one hundred percent happy with the stability."

"The most important feature is that it can help you do the multi-threading concepts."

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."

"The product must improve its visibility and scalability."

"Axway AMPLIFY Application Integration is an expensive solution."

"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 most important point to improve is the capability to deploy in large enterprises."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"The pricing scheme is very complex and difficult to understand."

"Data Factory's cost is too high."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"It would be better if it had machine learning capabilities."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

"Real-time replication is required, and this is not a simple task."

"The product is not expensive."

"Users need to pay an annual licensing fee for the solution."

"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 licensing is a pay-as-you-go model, where you pay for what you consume."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"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."

"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 solution's pricing is competitive."

"Pricing appears to be reasonable in my opinion."

"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."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."