

Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Each one we've carefully measured ROI and been able to demonstrate significant ROI with them.
The biggest return on investment for me when using Azure AI Foundry is the savings in cost for implementing our own observability, visibility, evaluation, and building our own infrastructure to do proof of concepts.
The playground is where you can deploy the model and test, and guardrails serve as the protection mechanism.
Reducing development hours from eighty to four for an API was possible due to reusing existing scripts from DataPower.
I have seen a return on investment from using IBM API Connect, as we created multiple plans based on customer usage.
I evaluate customer service and technical support positively because we have the enterprise license, which allows us to prioritize serious issues, ensuring that Microsoft support responds quickly.
On a scale from one to ten, I would rate customer service and technical support as a nine.
I am receiving full support due to our partnership with Microsoft and because we are in the evaluation phase.
Support is excellent when it comes to APIC.
Support is extremely good, especially with Sev 1 issues.
Azure AI Foundry scales with the growing needs of my organization very well.
The platform expands to all of our needs without us really having to do anything, so scalability is definitely there.
I've had a couple of times where I've had to get to the VP level of Microsoft before I could get the capacity I needed for my customers.
With container versions, scaling up or down the gateways deployed into pods is a two to three-minute task for the operations team.
It is distributed among IBM MQ, IBM Ace, IBM DataPower, and IBM API Connect.
IBM API Connect's scalability is good, as you can handle it easily similar to how you manage cloud providers.
I have not experienced any downtime, crashes, or performance issues.
Regarding stability and reliability, I've had zero downtime with Azure AI Foundry, and it helps fix itself.
I would assess the stability and reliability of Azure AI Foundry as very good.
The runtime engine for the APIC Gateway is still a DataPower component, which has been stable in the industry for about fifteen years.
If it is functioning well, you won't have a bad experience and your application becomes more reliable.
Providing data on the internal workings of Azure AI Foundry would help customers like us feel more comfortable adopting it.
What did not work well for us regarding Azure AI Foundry includes the security piece, being able to identify how to deploy to multiple regions, reducing latency, and managing tokens per minute.
With code, you know what the binary result is, but with prompting, it is a lot harder.
Examples include the lack of connectivity to MQ.
You need to know when traffic peaks, so use auto-scaling when traffic comes.
Connectivity to MQ is not available in IBM API Connect.
Regarding the pricing, setup cost, and licensing of Azure AI Foundry, I would say it is fair, but I think it gets more expensive.
the pricing, setup costs, and licensing for Azure AI Foundry are very expensive, but still cheaper than hiring an additional position
It was difficult to get an understanding of how we could model out our pricing and cost over time without talking to someone.
Pricing depends on how many instances run across environments.
Some examples of how its features have benefited my organization include ease of access, being able to see what's functioning, what's not functioning, why it's not functioning, and when it stopped functioning, and to maintain visibility on day-to-day operations.
The feature of being able to pick the right models has been the most beneficial for enhancing our customer service because some AI models are more expensive but slower, while others are faster and cheaper, allowing us to pick the right model for the right task that we are trying to solve.
The feature that has been the most beneficial for enhancing customer experience is the one that allows you to compare multiple models to one another and see how they perform against each other.
It offers significant development efficiency, reducing man-hours from eighty to four when creating APIs.
We can add some policies to provide extra security, protect your backend, validate the consumers, and analyze based on the traffic limit to throw things out.
IBM API Connect has a designer and CLI features which can be used to completely automate the API.

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 10 |
| Large Enterprise | 61 |
Azure AI Foundry harnesses advanced AI technologies to streamline complex tasks across industries, offering cutting-edge solutions that enhance business processes and boost efficiency.
Azure AI Foundry integrates seamlessly into business environments, leveraging AI to transform traditional operations. It supports diverse applications by providing robust machine learning capabilities that drive innovation and enable intelligent automation. Designed to handle large-scale data analytics, it empowers users to make data-driven decisions swiftly and accurately, thereby optimizing resources and workflows.
What are the key features of Azure AI Foundry?Azure AI Foundry is utilized across multiple industries, including finance, healthcare, and manufacturing, where it aids in predictive analytics, patient data management, and supply chain optimization. Its ability to integrate AI-driven insights into everyday operations helps these sectors enhance their efficiency and innovate steadily in dynamic markets.
IBM API Connect is an API management tool providing robust security, seamless REST and SOAP conversion, and flexible deployment options for diverse cloud environments. It aids organizations in securing and monetizing their APIs while streamlining the development process.
IBM API Connect offers features like a security gateway, API lifecycle management, and integration with DataPower. Its intuitive interface enhances ease of use, supporting extensive analytics and traffic management. However, there are areas for improvement in automation, system integration, and user configuration. Organizations can deploy API Connect on-premises or in the cloud, delivering secure access control and analytics for banking, financial services, and government sectors. Compliance with standards like PSD2 ensures secure external API exposure and integration with multiple systems.
What are the most important features of IBM API Connect?In specific industries like banking, financial services, and government sectors, IBM API Connect plays a crucial role in API management, orchestration, and regulation tasks. It provides secure access, control, and compliance with industry standards, serving as an essential gateway for data exchange and integration across multiple systems.
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