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Azure AI Foundry vs SnapLogic comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.1
Azure AI Foundry streamlines implementation, boosts efficiency, and delivers ROI, though financial impacts vary, especially for non-profits.
Sentiment score
8.5
Clients praise SnapLogic for improving efficiency and ROI, simplifying cloud integration, and automating data transfer without coding skills.
Each one we've carefully measured ROI and been able to demonstrate significant ROI with them.
AI Practice Director at a consultancy with 201-500 employees
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.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
The playground is where you can deploy the model and test, and guardrails serve as the protection mechanism.
Advisory Specialist Master at a tech vendor with 10,001+ employees
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
Technical Specialist App Development at Birlasoft IndiaLtd.
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
 

Customer Service

Sentiment score
5.3
Azure AI Foundry support receives mixed reviews, citing both quick responses for some and delays and challenges for others.
Sentiment score
7.0
SnapLogic's customer service receives mixed reviews, with commendations for quick responses and critiques for delays and knowledge gaps.
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.
Manager, Data Science at a outsourcing company with 10,001+ employees
On a scale from one to ten, I would rate customer service and technical support as a nine.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
I am receiving full support due to our partnership with Microsoft and because we are in the evaluation phase.
Sr Director at a tech vendor with 10,001+ employees
The technical support from SnapLogic is excellent, and I would give it a complete ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
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.
Technical Specialist App Development at Birlasoft IndiaLtd.
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
5.5
Azure AI Foundry offers seamless scalability, though GPU availability and organizational readiness can affect expansion and deployment.
Sentiment score
7.4
SnapLogic offers easy scalability and elasticity in cloud and on-prem environments, supporting diverse business sizes and user needs.
Azure AI Foundry scales with the growing needs of my organization very well.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
The platform expands to all of our needs without us really having to do anything, so scalability is definitely there.
Staff Software Developer at a tech vendor with 1,001-5,000 employees
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.
AI Practice Director at a consultancy with 201-500 employees
I rate the scalability of SnapLogic as eight out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Stability Issues

Sentiment score
6.9
Azure AI Foundry is stable with high user satisfaction, despite occasional issues due to broader Azure service outages.
Sentiment score
7.4
SnapLogic is stable with high uptime, but faces challenges with large datasets and some prefer competitor support.
I have not experienced any downtime, crashes, or performance issues.
Directeur Des Ventes at Ited
Regarding stability and reliability, I've had zero downtime with Azure AI Foundry, and it helps fix itself.
IT Manager at a manufacturing company with 1,001-5,000 employees
I would assess the stability and reliability of Azure AI Foundry as very good.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
I would rate the stability of SnapLogic as nearly ten out of ten.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
But recently, in a year, I haven't found many performance issues in SnapLogic.
Technical Specialist App Development at Birlasoft IndiaLtd.
 

Room For Improvement

Azure AI Foundry needs improved integration, usability, transparency, governance, and tool support to enhance user experience and adoption.
SnapLogic needs improved integrations, processing, transparency, support, AI, and performance for better user experience and large data handling.
Providing data on the internal workings of Azure AI Foundry would help customers like us feel more comfortable adopting it.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
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.
Azure Cloud Architect at a manufacturing company with 10,001+ employees
With code, you know what the binary result is, but with prompting, it is a lot harder.
Senior Director, Data Orchestration Ai & Helix Practice Advisor at Connection
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
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.
Technical Specialist App Development at Birlasoft IndiaLtd.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
Head of Data Practice at a tech consulting company with 201-500 employees
 

Setup Cost

Azure AI Foundry pricing varies by user, with mixed views on cost justification and competitiveness, prompting some to seek alternatives.
SnapLogic's pricing, though moderate to high, offers scalability and value for complex integrations with its flexible, usage-based licensing.
Regarding the pricing, setup cost, and licensing of Azure AI Foundry, I would say it is fair, but I think it gets more expensive.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
the pricing, setup costs, and licensing for Azure AI Foundry are very expensive, but still cheaper than hiring an additional position
Manager, Data Science at a outsourcing company with 10,001+ employees
It was difficult to get an understanding of how we could model out our pricing and cost over time without talking to someone.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
There would be only one point of improvement if the price could be lower.
Head of Data Practice at a tech consulting company with 201-500 employees
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Valuable Features

Azure AI Foundry streamlines AI integration with quick testing, centralized hosting, enhanced security, and efficient deployment features.
SnapLogic simplifies low-code development with drag-and-drop tools, pre-built snaps, and seamless integration, enhancing efficiency and user experience.
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.
IT Manager at a manufacturing company with 1,001-5,000 employees
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.
Manager, Data Science at a outsourcing company with 10,001+ employees
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.
AI Practice Director at a consultancy with 201-500 employees
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.
Head of Data Practice at a tech consulting company with 201-500 employees
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.
Global Head - DevOps and AIOps Startegist at a manufacturing company with 10,001+ employees
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
Senior Data Analyst at a pharma/biotech company with 10,001+ employees
 

Categories and Ranking

Azure AI Foundry
Ranking in Integration Platform as a Service (iPaaS)
10th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
16
Ranking in other categories
AI Development Platforms (7th), Low-Code Development Platforms (10th), AI-Agent Builders (3rd)
SnapLogic
Ranking in Integration Platform as a Service (iPaaS)
11th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
26
Ranking in other categories
Data Integration (21st), Process Automation (16th), API Management (20th), Cloud Data Integration (14th)
 

Featured Reviews

Sudhakar Pyndi - PeerSpot reviewer
Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees
Document processing has accelerated contract reviews and enabled rapid development of AI-driven supply chain solutions
With regard to security, compliance, or governance features in Azure AI Foundry, this is something that we have started looking into, primarily using Microsoft Purview for our governance, data governance. There is this new module called DSPM for AI, and we are exploring it while trying to operationalize it with different policies and so forth, but we're still not where we want to be on the governance, AI governance side. It's a process and a path, and we are trying to work through that right now. Azure AI Foundry can be improved from the governance perspective, as a lot can be done. The promising part is the recent announcement on the Foundry control plane. A couple of days back, there was an announcement regarding it bringing in some of the gaps that were on the platform, so it's a really positive direction in terms of where it's going. More governance is what is lacking, but the control plane will really play a big role there.
SameerShaikh - PeerSpot reviewer
Technical Specialist App Development at Birlasoft IndiaLtd.
Has automated manual tasks and simplified integration with pre-built connectors while supporting AI use cases
The tool is very user-friendly and not complex to understand. The structure of the platform is easy to understand, and we can build multiple systems with low-code, no-code, so it doesn't require much coding language. Now it is moving more into APIs, so we can create APIs to transfer data, which we can manage. It's moving into AI, so we can create AI agents with LLM models. We can use most of the LLM such as Amazon Bedrock, OpenAI, Azure AI. With those Snaps, we can integrate and move more into the AI world. SnapLogic is hosted on Groundplex and AWS cloud. It has pre-built connectors, which we call Snaps. That is very helpful to connect with multiple systems. We have a dashboard monitor that is very graphical. We can measure exact times in seconds and how much time it took to complete the process. With that help, it's really helpful to see how much memory consumption is utilized. The monitor structure has very good features for SnapLogic. SnapLogic is an integration tool which we use to integrate multiple systems such as source system, target system, cloud systems, and Groundplex systems. It is an iPaaS tool and a very strong tool. Now it is moving more into APIs and AI/ML tools; it is improving their knowledge. It is helpful for creating SnapLogic agents. In this way, SnapLogic is expanding their work.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
15%
Outsourcing Company
13%
Retailer
12%
Financial Services Firm
18%
Manufacturing Company
12%
Comms Service Provider
7%
Real Estate/Law Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise5
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for Azure AI Foundry?
I would need to ask my technical team about my experience with the pricing, setup costs, and licensing.
What needs improvement with Azure AI Foundry?
The platform's effect on my management of privacy, performance, and compliance across different regions is quite complex because Azure AI Foundry does not make it very clear how to deploy. We set u...
What is your primary use case for Azure AI Foundry?
My main use cases for Azure AI Foundry include deploying AI applications to perform document comparison, translation services, and a chat feature, helping the digital AI team at our company. Curren...
What do you like most about SnapLogic?
Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
What needs improvement with SnapLogic?
Some advanced features lack detailed documentation, and debugging complex pipelines could be more intuitive. We have faced a few issues with pipeline throttling, but SnapLogic support was responsiv...
What is your primary use case for SnapLogic?
Our main use case for SnapLogic is building integration pipelines across SaaS applications, databases, and internal systems to automate the data flows. A specific example of how we have used SnapLo...
 

Also Known As

No data available
DataFlow
 

Overview

 

Sample Customers

Information Not Available
Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Find out what your peers are saying about Azure AI Foundry vs. SnapLogic and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.