The MongoDB.local NYC event showcased various new resources in the developer data platform to help users and clients create, iterate, and scale their applications with MongoDB. The platform is essential for teams that aim to innovate quickly and efficiently, offering a unified API and eliminating the need for separate point solutions for different use cases. New features include Atlas Vector Search, which enables storing, indexing, and querying vectors alongside operational and transactional data, and Atlas Stream Processing, which transforms the way developers create event-driven applications. The platform also improved search functionality with Atlas Search, allowing developers to refine and personalize their search logic, and introduced dedicated research nodes for independent dimensioning and optimization of resources. Additionally, MongoDB 7.0 brings improvements in performance, scalability, and security, including faster query execution, Queryable Encryption for secure data storage, and support for Kotlin and PyMongoArrow for easier development and data export.