SurrealDB 2.0 introduces a host of innovative features that significantly enhance its capabilities as a multi-model database, focusing on performance, stability, security, and scalability. The updated SurrealQL parser improves query execution speed and resilience, supporting complex operations like recursive queries, while new querying statements and GraphQL support offer increased flexibility for data interaction. The integration of AI and machine learning via SurrealML allows developers to manage ML models directly within the database, facilitating real-time data processing. SurrealKV, a Rust-based key-value storage engine, provides ACID compliance and historical querying, enhancing data access and storage. Security is upgraded with JWT-based authentication and advanced token management, allowing for granular access control. SurrealDB 2.0 also improves SDKs across major programming languages, optimizing integration and type safety, thereby positioning itself as a cutting-edge solution for enterprises managing complex, real-time data in AI-driven, cloud-native environments.