Microsoft Events presents an advanced Ignite breakout session featuring Patty Chow, Khelan Modi, and Gurvinder Singh. The talk explores Azure DocumentDB’s new open-source direction, AI-powered query optimization, and cutting-edge multicloud capabilities for technical audiences.

Innovating with MongoDB-Compatible Azure DocumentDB: AI, Multicloud, and Cost Efficiency

Speakers: Patty Chow, Khelan Modi, Gurvinder Singh
Session: BRK132 | Microsoft Ignite 2025
Format: Advanced Breakout (300)

Introduction

Azure DocumentDB, now open-source under the Linux Foundation and featuring MongoDB compatibility, provides a fully managed document database platform for modern application development. This session details how organizations like Kraft Heinz accelerate innovation and reduce operational overhead using DocumentDB’s JSON-native model, turnkey scaling, and enterprise-grade security supported by Azure’s end-to-end SLA.

Key Technical Topics

Open Source MongoDB Compatible Engine: DocumentDB now supports MongoDB workloads in a fully managed Azure service, increasing cloud portability and flexibility.
Turnkey Scaling and Updates: Automatic scaling and system updates reduce operations, enabling rapid application iteration.
Enterprise Security: Built-in data protection and compliance features meet stringent enterprise requirements.
Hybrid and Multicloud Support: DocumentDB is deployable across on-premises, Azure, and other clouds for true hybrid flexibility.

Demo Highlights

LLM-Based Index Advisor & AI Ready Features

Live demonstration of the new AI-driven Index Advisor powered by large language models (LLMs) for automating index optimization.
Query optimization using AI techniques, reducing manual overhead and boosting performance.

Migration and Data Verification

Step-by-step migration using tools and VS Code extensions to transfer collections (e.g., Sample Restaurants database).
Verification of data integrity post-migration within developer tooling.

Advanced Query Capabilities

Support for K-nearest neighbors (KNN) queries and semantic discovery for advanced search scenarios.
Demonstrations of deterministic versus semantic search behaviors and hybrid search techniques.

Cosmos AI Graph Architecture

Overview of Cosmos AI Graph components enabling complex data relationships and real-time analytics within document databases.

Multicloud and Hybrid Workloads

Technical explanation of deployment options for hybrid and multicloud environments, highlighting scalability and reliability features.

Getting Started

Early access options for DocumentDB and integration resources are shared for developers and architects to evaluate in their data platform projects.
Additional resources: Azure SQL & AI Development Plans, Microsoft Ignite Sessions

Conclusion

This session empowers technical teams to modernize their data platform strategies using DocumentDB’s open-source engine, AI-enhanced features, and cross-cloud capabilities. With support for advanced analytics and seamless migration workflows, organizations can reduce costs while maintaining flexibility and performance at scale.

Session delivered at Microsoft Ignite 2025 by Patty Chow, Khelan Modi, and Gurvinder Singh.