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The aim is to provide a thorough understanding of distributed database architectures and key design principles.

June 27, 2026Open Access

System Design & Distributed Databases: A Practical Guide to PACELC, CAP Theorem, ACID, Replication, Quorum, and Modern Database Selection

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The aim is to provide a thorough understanding of distributed database architectures and key design principles.
Analyzes fifteen production-grade distributed databases including Apache Cassandra and MongoDB.
Examines architectural trade-offs related to replication, consistency models, and scalability.
Presents practical Java examples for balancing consistency, availability, and latency.
Demonstrates the influence of the CAP Theorem and PACELC model on system architecture decisions.
Provides insights into consistency levels and their practical ramifications in cloud-native environments.
Offers a decision framework for selecting appropriate database technologies based on specific business needs.

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Comprehensive technical reference explores distributed database architecture, trade-offs, and design decisions.

Harison Bila de Carvalho (2026) studied this question.

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