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MongoDB
.local NYC

Name: MongoDB.local NYC
Start: 2025-09-17T8:00GMT-5
End: 2025-09-17T18:00GMT-5

Join us in-person for our keynote address, announcements, and technical sessions to help you build and deploy mission-critical applications at scale.

Location

Javits Center (Map)
429 11th Avenue
New York, NY 10001

When

September 17, 2025
8 a.m. – 6 p.m. ET

Cost

General admission is $200 and includes access to all content, food, & drink at the event.

Who Should Attend

Developers, architects, IT professionals, DevOps engineers, and anyone working with or learning MongoDB

Watch the keynote on-demand

Watch the MongoDB.local keynote, where we unveil groundbreaking new offerings to modernize legacy systems, accelerate innovation, and simplify data transformation. Discover AI-powered tools and integrations designed to supercharge development and empower smarter, faster decision-making!Watch on YouTube

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MongoDB.local NYC on-demand

Rewatch the keynote and major product announcements on the MongoDB YouTube channel.

Featured speakers

Gain insights from a diverse group of experts shaping the future of technology.

View all speakers

Dev Ittycheria

President & CEO

Osmar Olivo

Senior Director, Database Product Management

Shilpa Kolhar

Senior Vice President, Application Modernization

Mikiko Bazely

Staff Developer Advocate

Featured sessions

Learn the secrets to unlocking the power of MongoDB’s document model database.

View Agenda

Accelerate Enterprise Search: How Hybrid Vector and Text Search Unlocks Insights Across Enterprises

Learn how hybrid search—combining traditional text-based search with AI-powered semantic search—is implemented to accelerate search transformation.

Building for Scale: How MongoDB Atlas Grows with You

Learn how MongoDB Atlas seamlessly supports multi-region deployments and horizontal scaling (i.e. sharding) to accommodate your growing user base.

Data Modeling for MongoDB: From Relational to Document Model

Join us for an interactive workshop where you'll learn how the flexible document model compares to relational models, practice schema design for a library management system, and explore tools like schema validation for ensuring data integrity.