# Distributed Data Architectures **Domain:** Computer Science, Systems Engineering **Doc Type:** Concept Node **Classification:** Infrastructure Concept **Maturity:** Foundational **Related:** [[Computational Architecture]], [[Data Infrastructure]], [[Data Platforms]] --- ## Definition Computational systems where data and processing are geographically or organizationally dispersed rather than centralized, with mechanisms for maintaining consistency and enabling access across distributed components. Distribution increases resilience and can localize decision-making. --- ## General Context Distributed architectures contrast with centralized databases by replicating data across multiple nodes, enabling local processing, and using consensus mechanisms for synchronization. They sacrifice efficiency for resilience and autonomy. --- ## Governance Context Climate governance via distributed architectures (e.g., blockchain-based carbon markets) appears to decentralize control while potentially maintaining surveillance and capital concentration. --- ## Key Insight Distributed architectures appear to decentralize power but may simply distribute control of the same outcome. True decentralization requires that distributed nodes can diverge, disagree, and make independent decisions—which creates coordination problems. --- ## See Also [[Coordination Systems]], [[Governance]], [[Consensus Mechanisms]]