Overview
Product Information on Microsoft Foundry
What is Microsoft Foundry?
Microsoft Foundry Pricing
Overall experience with Microsoft Foundry
“Unified Platform Streamlines Data Integrity But Requires Cost Management Oversight”
“Azure Provider for Terraform Lacks Full Resource Support During IaC Implementation”
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Company Description
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Microsoft Foundry
Deciding Factors: Microsoft Foundry Vs. Market Average
Microsoft Foundry Likes & Dislikes
The strongest point for me, and there are a host of things to explore, is the integration with Azure Databricks for feature store workflow. I have been able to build feature tables and Delta live tables in Databricks, and Foundry does relatively well with navigating them. In my own process, I had to move around from platform to platform a great deal, so I appreciate Foundry's ability to provide one unified place for data integrity and experimentation.
API is working as expected, also integration with Azure credentials sdk and other tools made our development much faster and operative quickly. New models are included frequently which is very important for the current evolution of AI. As a third point i can say that is great that it includes multiple models, image, text, speech and all you need in one single resource in Azure.
End-to-end AI application workflows covering experimentation, evaluation, development and monitoring in a single platform. Strong integration with Azure services, making it easier to manage security, access control and scalability. Built-in governance, guardrails and observability features that make enterprise AI development safer and more reliable.
I'm not directly involved in these conversations, but it has been impressed upon me that cost management is imperative. We often have to consult with our tenant managers to ensure that spinning up resources in Databricks and Foundry is tracked with disciplined tagging or it can result in unexpected costs. It has certainly made me more diligent in documentation and the process of our internal workflow.
As mentioned in the discussion, during the implementation in our platform we faced that some of the resources that we needed to create were not yet available in the azure provider for terraform. We discussed with the support teams and we finally had to deploy it using scripts, which is not a best practice and duplicated the work we have to do in the future. As a user I think the UI can be improved, it looks very poor and not responsive enough.
Initial learning curve can be challenging for teams without prior Azure experience. Cost tracking and usage transparency could be more intuitive during large scale experimentation. Some advanced configurations require deeper documentation or more guided templates.
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Peer Discussions
Microsoft Foundry Reviews and Ratings
- BUSINESS INTELLIGENCE ANALYSTGov't/PS/EdEducationReview Source
Unified Platform Streamlines Data Integrity But Requires Cost Management Oversight
My experience with Microsoft Foundry has been largely positive. I primarily use it in conjunction with Azure Databricks, which has been a game changer in being able to handle heavy data prep and feature engineering. There is a bit of a learning curve for the interace, but being able to integrate feature stores in the foundry environment and the rest of our Azure data stack has expedited our analytical maturity for sure. - SENIOR SOFTWARE ENGINEER10B+ USDManufacturingReview Source
Azure Provider for Terraform Lacks Full Resource Support During IaC Implementation
The tool is working fine, however we faced that azure rm provider is still not fully ready for implementing everything using IaC. Also the User Interface can be improved since for me it is a bit poor and some messages received in the chat are very hard to understand. As a benefit i would say that it is including models very rapidly and up-to-date and the API is working as expected. - Manager, Project Management50M-1B USDIT ServicesReview Source
A Production Ready AI Platform With Strong Governance And Scalability
Microsoft Foundry has delivered a very reliable and structured experience for building and managing AI workflows. What worked well for me was the smooth integration with Azure ecosystem, strong model evaluation capabilities and clear focus on security and governance. The Platform feels production-ready rather than experimental. While the initial learning curve can be slightly steep for new users new to Azure, the overall stability, flexibility, and scalability make it a strong solution for real world AI use cases. - TECHNICAL MANAGER<50M USDIT ServicesReview Source
A scalable and secure data foundation with strong Microsoft ecosystem integration
My overall experience with Microsoft Foundry has been very positive. The platform provides a strong and scalable foundation for managing, integrating and governing enterprise data workloads. What worked well is its deep integration with the Microsoft ecosystem, centralized data governance and enterprise grade security controls. While the solution is powerful, the initial setup & configuration can be complex for teams new to advanced data platforms and cost optimization requires careful planning. Overall, it delivers solid value for organizations looking for a unified and secure data foundation. - SENIOR SOFTWARE ENGINEER10B+ USDManufacturingReview Source
Recent Foundry Updates in Azure AI Studio Revealed Bugs and Terraform Gaps
The evolution of Azure AI studio has become one of our main products for the internal customers for building AI applications. Model deployment and microsoft offering in terms of compliance allowed us to offer this resource for wide variety of applications. Problems with "new" foundry, stability of the SDKs and observability limitations we found as main drawbacks.