AWS offers the Amazon API Gateway supports the creation and publication of an API for web applications, as well as its monitoring and maintenance. The Amazon API Gateway is able to support thousands of API calls concurrently and provides traffic management, as well as monitoring and access control.
$0.90
Per Million
Azure API Management
Score 8.7 out of 10
N/A
Microsoft's Azure API Management supports creation of API.
$0.04
per 10,000 calls
Microsoft Azure
Score 8.4 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
Amazon API Gateway
Azure API Management
Microsoft Azure
Editions & Modules
Past 300 Million
$0.90
Per Million
First 300 Million
$1.00
Per Million
Consumption
0.042 per 10,000 calls
Lightweight and serverless version of API Management service, billed per execution
Developer
$48.04
per month Non-production use cases and evaluations
Basic
$147.17
per month Entry-level production use cases
Standard
$686.72
per month Medium-volume production use cases
Premium
$2,795.17
per month High-volume or enterprise production use cases
Isolated
TBA
per month Enterprise production use cases requiring high degree of isolation
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
Amazon API Gateway
Azure API Management
Microsoft Azure
Free Trial
No
No
Yes
Free/Freemium Version
No
No
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
—
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
More Pricing Information
Community Pulse
Amazon API Gateway
Azure API Management
Microsoft Azure
Considered Multiple Products
Amazon API Gateway
Verified User
Technician
Chose Amazon API Gateway
When we tested Azure API Management at the time, it had serious connectivity issues, it was very unstable, and it needed to do a lot using the command line. Comparing with the AWS solution, which was more mature, and the fact that we have services in use on AWS, we ended up …
Compared to other solutions, Azure is much easier to use and setup, but probably for hybrid solution Talend API in the cloud is the best solution and Talend API can take advantage of Amazon API Gateway, thus all this hard work is done by other software solution. Additionally, …
As AWS API comes with more security and API key authentication functions, it's easy for the organization to handle the various customers based with different level of permission. And also very easy comparable to others for tracking the API calls. Also, scalability and …
It’s a great tool, and so easy to seamlessly connect into your current Azure world that it’s hard not to look at it or even test the waters with it. It’s priced well, and is feature-rich enough to accomplish most tasks. I think the ease of having everything together and the …
There are lots of players in this space these days, but Microsoft and AWS are the two most visible and easiest to get connected with. We were using AWS first, and have been using both for some time, but have now converted entirely over to Azure just for the ease of management, …
Experienced a lack of available programming languages while working on a minor project. I had to halt the project and wait for it to be added later. It took ages and had a hit on our productivity. It has a centralized management system which helps and an easy interface which helps to manage multiple tasks in case of large-scale operations and projects.
1) Securing your back-end APIs - If you have a legacy back-end web service that has a basic authentication scheme, you can add some additional security by placing APIM in front, and requiring subscription keys. Leverage your existing firewall to ensure only your APIM instance can communicate with your back-end API, and you've basically added a layer of protection.
2) Lift and shift - there are always going to be clients that don't want to update their clients to use a newer API; in some cases you can make a newer API look like an older one by implementing some complex policies in APIM. You can also do the opposite, making older APIs look new, such as making an XML back-end accept both JSON and XML.
3) Centralizing your APIs - if you've acquired another company and want to make their API set look as if it's a part of the larger whole, APIM is an easy way to provide a consistent front-end interface for developers.
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
API Gateway integrates well with AWS Lambda. This allows us to build a web server in the language and framework of our choice, deploy it as a Lambda function, and expose it through API Gateway.
API Gateway manages API keys. Building rate limiting and request quota features are not trivial (or interesting).
API Gateway's pricing can be very attractive for services that are accessed infrequently.
Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
Lack of robustness is a bit of an issue. Several other providers offer more options and capabilities, but then, they are lacking in interface ease.
As with anything Azure, pricing is really hard to stay on top of. I always find that you really don’t know what you’re paying for until you get the bill. Having an excellent Azure Administrator can help resolve that.
Integrating with app services outside of Azure can be a challenge, or at least much more challenging than just using Azure App Services.
The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
The documentation needs to be improved, and some advanced configuration options require research and experimentation.
Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
It is a great product very reliable and stable for connecting various aws services like we connected with lambda function and it is working very well, never faced any issue after the setup. It also saves out lots of money as well as time after we implemented the automatic ec2 server recovery system
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
We always had a great experience with the AWS support team. They were always on time and very dependable. It was a good partnership while we worked to resolve our issues.
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
When we tested Azure API Management at the time, it had serious connectivity issues, it was very unstable, and it needed to do a lot using the command line. Comparing with the AWS solution, which was more mature, and the fact that we have services in use on AWS, we ended up choosing to continue using AWS products. This so as not to run the risk of increasing latency in accesses, and of some functionality not working, due to being developed yet.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
