

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.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
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.
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
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.
I rate the scalability of SnapLogic as eight out of ten.
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.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
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.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
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.
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
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.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
The drag-and-drop builder and pre-built snaps have helped our team through a very low-code approach, making it easier for us to develop fast pipelines and be more agile compared to the heavier integration platforms we used before.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
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.
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.
We monitor all Integration Platform as a Service (iPaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.