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”
“Recent Foundry Updates in Azure AI Studio Revealed Bugs and Terraform Gaps”
About Company
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.
Company Details
Do You Manage Peer Insights at Microsoft?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Microsoft Foundry
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.
Unified AI resource to manage models, endpoints and deploy applications. Model catalog is great and you have variety for choosing the best model that fits into each AI use case and control costs. Improving constantly the agents deployments and integration with OpenAI libraries when deploying a gateway.
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.
Stability of the resource, Microsoft recently launched a new foundry with tons of bugs but with new features that legacy foundry was not offering. Since many features are very recent we are lacking the terraform provider implementation of some resources. Forces you to have App Insights (with high cost bill) to have a complete observability of the resource.
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.
Top Microsoft Foundry Alternatives
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. - 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. - Manager1B-10B USDMiscellaneousReview Source
Microsoft Foundry Simplifies Data Extraction With Multiple AI Model Integrations
The amount of AI models to choose from for your business is massive, I so far, have found this to be extremely useful and this wide variety of options to choose from is simply a winner in any environment you would find yourself. I like the outlay of Microsoft Foundry, it deems to be extremely user-friendly, the robust RAG gives you the option to connect to any data source so easily, data extraction takes seconds - saves you loads of time - 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.