This article explores the integration of blockchain technology with traditional database systems to create hybrid data management solutions that leverage the immutability and security of blockchain alongside the query efficiency and flexibility of conventional databases. A framework for implementing blockchain-integrated databases is proposed, examining performance optimization strategies and potential applications across finance and supply chain domains. The work addresses critical challenges in maintaining data integrity while preserving query performance, establishing a foundation for future implementations that can revolutionize secure data management in sensitive environments. Key architectural models, including sidechain, event sourcing, and validation layer approaches, are evaluated against implementation complexity and performance considerations. Additionally, selective blockchain commitment strategies and consensus mechanism selection techniques are presented to help organizations overcome the inherent tensions between security guarantees and computational efficiency, enabling the practical adoption of these hybrid systems in enterprise environments.

Blockchain-integrated databases, Immutable data management, Hybrid architecture, Smart contract governance, Selective commitment strategies

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