Which feature allows MongoDB to support real-time data processing?

Horizontal scalability is the feature that enables MongoDB to support real-time data processing. This capability allows MongoDB to distribute data across multiple servers, which is crucial for handling large volumes of data and high traffic loads effectively. By scaling out horizontally, organizations can add more servers to their database clusters as needed, ensuring that performance and responsiveness are maintained even during peak usage times.

This characteristic is particularly important for real-time applications where data must be processed and accessed quickly. As more data is ingested, the system can dynamically scale to meet the demand without significant downtime or performance degradation. This makes MongoDB a strong choice for applications that require fast processing and real-time analytics, such as social media platforms, e-commerce sites, and IoT applications.

Other choices, such as fixed schema design or static query execution, are not conducive to real-time processing. Fixed schema designs can limit flexibility and adaptability to changing data requirements, while static query execution may hinder the ability to interact with rapidly changing datasets in real time. Document-based storage provides some advantages in terms of data modeling and ease of use, but it is the horizontal scalability that fundamentally underpins real-time data processing capabilities in MongoDB.