White Paper

Moving beyond the Limits of MongoDB with Fauna

Overview

MongoDB has become a popular choice for application builders looking for a flexible and scalable database with a document model. However, MongoDB comes with limitations such as a complex operational model, limited querying capabilities, lack of robust schema enforcement, static security, and eventual consistency. Fauna’s Document-Relational model addresses these limitations by merging the flexibility of document databases with the robust querying, schema, and consistency capabilities of relational databases, offering a superior solution for modern applications.

Key takeaways

Superior Operational Model: Unlike MongoDB, Fauna offers a fully serverless experience, eliminating infrastructure management complexities and allowing developers to focus on building applications.

Powerful and Robust Relations: Fauna provides native support for document references and joins, simplifying relationship handling and enhancing data integrity compared to MongoDB’s manual and limited methods.

Comprehensive Schema Enforcement: Fauna allows dynamic schema enforcement and evolution over time, ensuring data integrity and consistency, which MongoDB’s flexible schema model struggles to guarantee.

Enhanced Security Features: Fauna’s security framework includes both RBAC and ABAC for granular, real-time access control, offering more sophisticated security compared to MongoDB’s static RBAC model.

Robust Consistency Guarantees: Fauna guarantees strict serializability, providing the highest level of transaction isolation, in contrast to MongoDB’s eventual consistency and complex configuration for consistency levels.

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