White Paper
From Document to Document-Relational Databases
Overview
The broad adoption of Document Databases has significantly reshaped the database landscape. The flexible document data model aligns well with modern application development, offering a preferred alternative to traditional Relational Databases for many use cases. However, legacy Document Databases also come with limitations, such as limited querying capabilities, lack of schema enforcement, static security, and eventual consistency.
Fauna’s Document-Relational approach addresses the limitations of traditional Document Databases, merging the flexibility of the document model with the robust querying, schema, and consistency capabilities of relational databases – offering a comprehensive solution for modern applications.
Key takeaways
Combine Flexibility and Relational Power: Fauna integrates the developer-friendly document model with the strong consistency and relational querying capabilities of traditional databases, ensuring data integrity and simplified data access.
Flexible and Enforceable Schema: Unlike legacy document databases, Fauna allows developers to define, enforce, and evolve their schema over time without service interruptions, aligning database changes with CI/CD workflows.
Advanced Security Features: Fauna’s security framework includes both RBAC and ABAC, providing granular and flexible access control to meet the stringent requirements of modern applications and regulatory standards.
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